Author | Method | Sample | Analysis techniques |
---|---|---|---|
General Panel Survey | 11,986 | Regression | |
(2017) | Graduate Student Sample | 760 | Regression and Correlations |
(2015) | General Panel Survey | 368 | Regression and Correlation |
(2011) | General Panel Survey | 22,770 | Regression |
Graduate Student Panel Survey | 2,400 | Regression | |
General Panel Survey | 15,668 | Regression | |
General Panel Survey | 1,416 | Regression | |
(2016) | College Student Panel Survey | 106 | Regression |
(2017) | Cross-Cultural Study | 55 Nations | Regression |
General Panel Survey | 14,884 | Regression | |
Cross-Cultural Study | 36 Nations | Regression | |
General Panel Survey | 1,000 | Regression | |
College Student Panel Survey | 4,759 | Regression | |
(2018) | General Panel Survey | 4,947 | Regression |
(2005) | General Panel Survey | 1,113 | Regression |
Cluster | No of items | Items |
---|---|---|
1 | 6 | Attitudes, cohabitation, fertility, life course, living arrangements, marriage |
2 | 6 | Couples, employment, family economics, gender roles, longitudinal research, marital quality |
3 | 5 | Gender, multi-role environment, role overload, stress, work, and family |
4 | 2 | Career outcomes, gender attitudes |
Author | Consequences/outcomes | Meaning |
---|---|---|
Low marriage rate, women less likely to have children and increased cohabitation | ||
Attitude convergence in marriage | Partners attitude alignment Convergence the attitudes in marriage Partners | |
(2005) | Increase subsequent school enrolment, women's full-time employment and independent living and delay marriage and marital parenthood | |
More working hours and more income for women | Women's more working hours and more income. Having fewer children | |
(2011) | Egalitarian essentialism | New cultural concerns, such as intensive parenting and career stress |
Nondifference in men or women for work life | Nondifference in work life balance for men and women | |
(2015) | Reduce gender role stereotyping | Egalitarian gender role attitude reduces the traditional gender role stereotypes |
(2016) | Children's convergence of egalitarian attitudes | Fathers' egalitarian gender role attitudes predicted child egalitarian gender role attitudes and outcomes |
(2017) | Increased entrepreneurial intention of women | Androgynous gender role orientation is most influential on entrepreneurial intention |
(2017) | Gender differences in personality cross-culturally | Gender differences in personality – Big Five traits, Dark Triad traits, self-esteem, subjective well-being, depression and values – are clearly more significant in cultures with more egalitarian gender roles |
Reduce conflict mindset (increase peace mindset) | Less support for the use of force to achieve traditional security objectives (Pease Increase) | |
Reduce the women's disadvantage in entering females in male-dominated occupations | Egalitarian gender attitudes at job entry can partially moderate women's disadvantage in entering male-dominated occupations | |
(2018) | Work and family role overload and stress | Results in work and family role overload and stress of |
Economic rationality of females | Females acting on economic rationality rather than gender norm | |
Low satisfaction | Low satisfaction to both men and women | |
Lower relationship quality and stability in marital relationships | Lower relationship quality and low stability in marital relationships when female breadwinner context |
Source(s): Authors created (2021)
Abele , A.E. ( 2003 ), “ The dynamics of masculine-agentic and feminine-communal traits: findings from a prospective study ”, Journal of Personality and Social Psychology , Vol. 85 No. 4 , p. 768 .
Alfieri , T. , Ruble , D.N. and Higgins , E.T. ( 1996 ), “ Gender stereotypes during adolescence: developmental changes and the transition to junior high school ”, Developmental Psychology , Vol. 32 No. 6 , pp. 1129 - 1137 , doi: 10.1037/0012-1649.32.6.1129 .
Aryee , S. , Luk , V. , Leung , A. and Lo , S. ( 1999 ), “ Role stressors, interrole conflict, and well-being: the moderating influence of spousal support and coping behaviors among employed parents in Hong Kong ”, Journal of Vocational Behavior , Vol. 54 No. 2 , pp. 259 - 278 , doi: 10.1006/jvbe.1998.1667 .
Attanapola , C. ( 2004 ), “ Changing gender roles and health impacts among female workers in export-processing industries in Sri Lanka ”, Social Science and Medicine , Vol. 58 , pp. 2301 - 2312 , 1982 , doi: 10.1016/j.socscimed.2003.08.022 .
Bakan , D. ( 1966 ), The Duality of Human Existence , Addison-Wesley , Reading, PA .
Barber , J.S. and Axinn , W.G. ( 1998 ), “ Gender role attitudes and marriage among young women ”, The Sociological Quarterly , Vol. 39 No. 1 , pp. 11 - 31 , doi: 10.1111/j.1533-8525.1998.tb02347.x .
Barry , V. , Stout , M.E. , Lynch , M.E. , Mattis , S. , Tran , D.Q. , Antun , A. , Ribeiro , M.J. , Stein , S.F. and Kempton , C.L. ( 2020 ), “ The effect of psychological distress on health outcomes: a systematic review and meta-analysis of prospective studies ”, Journal of Health Psychology , Vol. 25 No. 2 , pp. 227 - 239 , doi: 10.1177/1359105319842931 .
Beere , C.A. , King , D.W. , Beere , D.B. and King , L.A. ( 1984 ), “ The Sex-Role Egalitarianism Scale: a measure of attitudes toward equality between the sexes ”, Sex Roles , Vol. 10 Nos 7-8 , pp. 563 - 576 .
Bem , S.L. ( 1974 ), “ The measurement of psychological androgyny ”, Journal of Consulting and Clinical Psychology , Vol. 42 No. 2 , pp. 155 - 162 , doi: 10.1037/h0036215 .
Benería , L. , Berik , G. and Floro , M.S. ( 2015 ), Gender, Development, and Globalization: Economics as if All People Mattered , 2nd ed. , Routledge, New York , doi: 10.4324/9780203107935 .
Berkery , E. , Morley , M. and Tiernan , S. ( 2013 ), “ Beyond gender role stereotypes and requisite managerial characteristics: from communal to androgynous, the changing views of women ”, Gender in Management: An International Journal , Vol. 28 No. 5 , pp. 278 - 298 , doi: 10.1108/GM-12-2012-0098 .
Berridge , D. , Penn , R. and Ganjali , M. ( 2009 ), “ Changing attitudes to gender roles: a longitudinal analysis of ordinal response data from the British household panel study ”, International Sociology , Vol. 24 No. 3 , pp. 346 - 367 , doi: 10.1177/0268580909102912 .
Blau , F.D. and Kahn , L.M. ( 2006 ), “ The US gender pay gap in the 1990s: slowing convergence ”, ILR Review , Vol. 60 No. 1 , pp. 45 - 66 .
Blom , N. and Hewitt , B. ( 2020 ), “ Becoming a female‐breadwinner household in Australia: changes in relationship satisfaction ”, Journal of Marriage and Family , Vol. 82 No. 4 , pp. 1340 - 1357 , doi: 10.1111/jomf.12653 .
Boehnke , M. ( 2011 ), “ Gender role attitudes around the globe: egalitarian vs traditional views ”, Asian Journal of Social Science , Vol. 39 No. 1 , pp. 57 - 74 , doi: 10.1163/156853111X554438 .
Bosak , J. , Eagly , A. , Diekman , A. and Sczesny , S. ( 2018 ), “ Women and men of the past, present, and future: evidence of dynamic gender stereotypes in Ghana ”, Journal of Cross-Cultural Psychology , Vol. 49 No. 1 , pp. 115 - 129 , doi: 10.1177/0022022117738750 .
Brandth , B. , Halrynjo , S. and Kvande , E. ( 2017 ), “ Integrating work and family; Changing institutions and competing logics ”, in Brandth , B. , Halrynjo , S. and Kvande , E. (Eds), Work–Family Dynamics: Competing Logics of Regulation, Economy and Morals , 1st ed. , Routledge , doi: 10.4324/9781315716794 .
Broverman , I.K. , Broverman , D.M. , Clarkson , F.E. , Rosenkrantz , P.S. and Vogel , S.R. ( 1970 ), “ Sex-role stereotypes and clinical judgments of mental health ”, Journal of Consulting and Clinical Psychology , Vol. 34 No. 1 , pp. 1 - 7 , doi: 10.1037/h0028797 .
Brown , D.E. ( 1991 ), Human Universals , Temple University Press, Philadelphia, PA .
Brown , C.S. and Stone , E.A. ( 2016 ), “ Gender stereotypes and discrimination ”, Advances in Child Development and Behavior , Elsevier , Vol. 50 , pp. 105 - 133 , doi: 10.1016/bs.acdb.2015.11.001 .
Charlesworth , T.E.S. and Banaji , M.R. ( 2021 ), “ Patterns of implicit and explicit stereotypes III: long-term Change in gender stereotypes ”, Social Psychological and Personality Science , 194855062098842 , doi: 10.1177/1948550620988425 .
Ciabattari , T. ( 2001 ), “ Changes in men's conservative gender ideologies: cohort and period influences ”, Gender and Society , Vol. 15 No. 4 , pp. 574 - 591 , doi: 10.1177/089124301015004005 .
Cohen , F. , Kearney , K.A. , Zegans , L.S. , Kemeny , M.E. , Neuhaus , J.M. and Stites , D.P. ( 1999 ), “ Differential immune system changes with acute and persistent stress for optimists vs pessimists ”, Brain, Behavior, and Immunity , Vol. 13 No. 2 , pp. 155 - 174 , doi: 10.1006/brbi.1998.0531 .
Constantin , A. and Voicu , M. ( 2015 ), “ Attitudes towards gender roles in cross-cultural surveys: content validity and cross-cultural measurement invariance ”, Social Indicators Research , Vol. 123 No. 3 , pp. 733 - 751 , doi: 10.1007/s11205-014-0758-8 .
Corrigall , E.A. and Konrad , A.M. ( 2007 ), “ Gender role attitudes and careers: a longitudinal study ”, Sex Roles , Vol. 56 Nos 11-12 , pp. 847 - 855 , doi: 10.1007/s11199-007-9242-0 .
Cotter , D. , Hermsen , J.M. and Vanneman , R. ( 2011 ), “ The end of the gender revolution? Gender role attitudes from 1977 to 2008 ”, American Journal of Sociology , Vol. 117 No. 1 , pp. 259 - 289 , doi: 10.1086/658853 .
Cunningham , M. , Beutel , A.M. , Barber , J.S. and Thornton , A. ( 2005 ), “ Reciprocal relationships between attitudes about gender and social contexts during young adulthood ”, Social Science Research , Vol. 34 No. 4 , pp. 862 - 892 , doi: 10.1016/j.ssresearch.2005.03.001 .
Davis , S.N. and Greenstein , T.N. ( 2009 ), “ Gender ideology: components, predictors, and consequences ”, Annual Review of Sociology , Vol. 35 , pp. 87 - 105 .
Dawson , A. , Pike , A. and Bird , L. ( 2016 ), “ Associations between parental gendered attitudes and behaviours and children's gender development across middle childhood ”, European Journal of Developmental Psychology , Vol. 13 No. 4 , pp. 452 - 471 , doi: 10.1080/17405629.2015.1109507 .
De Silva , M.T.T. and Priyashantha , K.G. ( 2014 ), “ Changing gender stereotypes: the impact of conflicts in dual career families on turnover intention (with special reference to female professionals in Sri Lanka) ”, International Journal of Arts and Commerce , Vol. 3 No. 5 , available at: https://ijac.org.uk/images/frontImages/gallery/Vol._3_No._5/1.pdf .
Deaux , K. and Lewis , L.L. ( 1984 ), “ Structure of gender stereotypes: interrelationships among components and gender label ”, Journal of Personality and Social Psychology , Vol. 46 No. 5 , p. 991 .
Diekman , A.B. and Eagly , A.H. ( 2000 ), “ Stereotypes as dynamic constructs: women and men of the past, present, and future ”, Personality and Social Psychology Bulletin , Vol. 26 No. 10 , pp. 1171 - 1188 , doi: 10.1177/0146167200262001 .
Diekman , A.B. , Eagly , A.H. , Mladinic , A. and Ferreira , M.C. ( 2005 ), “ Dynamic stereotypes about women and men in Latin America and the United States ”, Journal of Cross-Cultural Psychology , Vol. 36 No. 2 , pp. 209 - 226 , doi: 10.1177/0022022104272902 .
Duxbury , L. , Stevenson , M. and Higgins , C. ( 2018 ), “ Too much to do, too little time: role overload and stress in a multi-role environment ”, International Journal of Stress Management , Vol. 25 No. 3 , pp. 250 - 266 , doi: 10.1037/str0000062 .
Eagly , A.H. and Karau , S.J. ( 2002 ), “ Role congruity theory of prejudice toward female leaders ”, Psychological Review , Vol. 109 No. 3 , pp. 573 - 598 , doi: 10.1037/0033-295X.109.3.573 .
Eagly , A.H. , Nater , C. , Miller , D.I. , Kaufmann , M. and Sczesny , S. ( 2020 ), “ Gender stereotypes have changed: a cross-temporal meta-analysis of US public opinion polls from 1946 to 2018 ”, American Psychologist , Vol. 75 No. 3 , pp. 301 - 315 , doi: 10.1037/amp0000494 .
Fong , K. , Mullin , J.B. and Mar , R.A. ( 2015 ), “ How exposure to literary genres relates to attitudes toward gender roles and sexual behavior ”, Psychology of Aesthetics, Creativity, and the Arts , Vol. 9 No. 3 , pp. 274 - 285 , doi: 10.1037/a0038864 .
Garcia-Retamero , R. , Müller , S.M. and López-Zafra , E. ( 2011 ), “ The malleability of gender stereotypes: influence of population size on perceptions of men and women in the past, present, and future ”, Journal of Social Psychology , Vol. 151 No. 5 , pp. 635 - 656 , doi: 10.1080/00224545.2010.522616 .
Gill , S. , Stockard , J. , Johnson , M. and Williams , S. ( 1987 ), “ Measuring gender differences: the expressive dimension and critique of androgyny scales ”, Sex Roles , Vol. 17 Nos 7-8 , pp. 375 - 400 , doi: 10.1007/BF00288142 .
Goldscheider , F.K. and Goldscheider , C. ( 1993 ), Leaving Home before Marriage: Ethnicity, Familism, and Generational Relationships , University of Wisconsin Press, Madison, Wisconsin .
Haines , E.L. , Deaux , K. and Lofaro , N. ( 2016 ), “ The times they are a-changing … or are they not? A comparison of gender stereotypes, 1983-2014 ”, Psychology of Women Quarterly , Vol. 40 No. 3 , pp. 353 - 363 , doi: 10.1177/0361684316634081 .
He , G. and Zhou , M. ( 2018 ), “ Gender difference in early occupational attainment: the roles of study field, gender norms, and gender attitudes ”, Chinese Sociological Review , Vol. 50 No. 3 , pp. 339 - 366 , doi: 10.1080/21620555.2018.1430509 .
Hébert , S. , Mazurek , B. and Szczepek , A.J. ( 2017 ), “ Stress-related psychological disorders and tinnitus ”, in Szczepek , A. and Mazurek , B. (Eds), Tinnitus and Stress , Springer International Publishing , pp. 37 - 51 , doi: 10.1007/978-3-319-58397-6_3 .
Hoyt , C.L. , Simon , S. and Reid , L. ( 2009 ), “ Choosing the best (wo) man for the job: the effects of mortality salience, sex, and gender stereotypes on leader evaluations ”, The Leadership Quarterly , Vol. 20 No. 2 , pp. 233 - 246 .
Jabeen , S. , Malik , S. , Khan , S. , Khan , N. , Qureshi , M.I. and Saad , M.S.M. ( 2020 ), “ A comparative systematic literature review and bibliometric analysis on sustainability of renewable energy sources ”, International Journal of Energy Economics and Policy , Vol. 11 No. 1 , pp. 270 - 280 , doi: 10.32479/ijeep.10759 .
Kalmijn , M. ( 2005 ), “ Attitude alignment in marriage and cohabitation: the case of sex-role attitudes ”, Personal Relationships , Vol. 12 No. 4 , pp. 521 - 535 , doi: 10.1111/j.1475-6811.2005.00129.x .
Liberati , A. , Altman , D.G. , Tetzlaff , J. , Mulrow , C. , Gøtzsche , P.C. , Ioannidis , J.P.A. , Clarke , M. , Devereaux , P.J. , Kleijnen , J. and Moher , D. ( 2009 ), “ The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration ”, PLoS Medicine , Vol. 6 No. 7 , e1000100 , doi: 10.1371/journal.pmed.1000100 .
Lopez-Zafra , E. and Garcia-Retamero , R. ( 2011 ), “ The impact of nontraditionalism on the malleability of gender stereotypes in Spain and Germany ”, International Journal of Psychology , Vol. 46 No. 4 , pp. 249 - 258 , doi: 10.1080/00207594.2010.551123 .
Lopez-Zafra , E. and Garcia-Retamero , R. ( 2012 ), “ Do gender stereotypes change? The dynamic of gender stereotypes in Spain ”, Journal of Gender Studies , Vol. 21 No. 2 , pp. 169 - 183 , doi: 10.1080/09589236.2012.661580 .
Lopez-Zafra , E. and Garcia-Retamero , R. ( 2021 ), “ Are gender stereotypes changing over time? A cross-temporal analysis of perceptions about gender stereotypes in Spain ( ¿Están cambiando los estereotipos de género con el tiempo? Un análisis transtemporal de las percepciones sobre los estereotipos de género en España ) ”, International Journal of Social Psychology , Vol. 36 No. 2 , pp. 330 - 354 , doi: 10.1080/02134748.2021.1882227 .
Lueptow , L.B. , Garovich , L. and Lueptow , M.B. ( 1995 ), “ The persistence of gender stereotypes in the face of changing sex roles: evidence contrary to the sociocultural model ”, Ethology and Sociobiology , Vol. 16 No. 6 , pp. 509 - 530 , doi: 10.1016/0162-3095(95)00072-0 .
Lyness , K.S. and Judiesch , M.K. ( 2014 ), “ Gender egalitarianism and work-life balance for managers: multisource perspectives in 36 countries: gender egalitarianism and work-life balance ”, Applied Psychology , Vol. 63 No. 1 , pp. 96 - 129 , doi: 10.1111/apps.12011 .
Marini , M.M. ( 1978 ), “ The transition to adulthood: sex differences in educational attainment and age at marriage ”, American Sociological Review , Vol. 43 No. 4 , p. 483 , doi: 10.2307/2094774 .
Meline , T. ( 2006 ), “ Selecting studies for systemic review: inclusion and exclusion criteria ”, Contemporary Issues in Communication Science and Disorders , Vol. 33 , Spring , pp. 21 - 27 , doi: 10.1044/cicsd_33_S_21 .
Mergaert , L.A.K. ( 2012 ), The Reality of Gender Mainstreaming Implementation. The Case of the EU Research Policy , Radboud Universiteit Nijmegen , Nijmegen .
Mergaert , L. , Heyden , K.V.der , Rimkutė , D. and Duarte , C.A. ( 2013 ), A Study of Collected Narratives on Gender Perceptions in the 27 EU Member States , Europian Institute for Gender Equity , p. 200 , available at: https://eige.europa.eu/publications/study-collected-narratives-gender-perceptions-27-eu-member-states .
Najeema , M., A. ( 2010 ), “ Parental and occupational stress ”, available at: http://archives.dailynews.lk/2001/pix/PrintPage.asp?REF=/2010/01/08/bus26.asp .
Office of the High Commissioner for Human Right ( 2014 ), Gender Stereotypes and Stereotyping and Women's Rights , Office of the High Commissioner for Human Rights , available at: https://www.ohchr.org/documents/issues/women/wrgs/onepagers/gender_stereotyping.pdf .
Onozaka , Y. and Hafzi , K. ( 2019 ), “ Household production in an egalitarian society ”, Social Forces , Vol. 97 No. 3 , pp. 1127 - 1154 , doi: 10.1093/sf/soy066 .
Pahlevan-Sharif , S. , Mura , P. and Wijesinghe , S.N.R. ( 2019 ), “ A systematic review of systematic reviews in tourism ”, Journal of Hospitality and Tourism Management , Vol. 39 , pp. 158 - 165 , doi: 10.1016/j.jhtm.2019.04.001 .
Parelius , A.P. ( 1975 ), “ Emerging sex-role attitudes, expectations, and strains among college women ”, Journal of Marriage and the Family , Vol. 37 No. 1 , p. 146 , doi: 10.2307/351038 .
Perez-Quintana , A. , Hormiga , E. , Martori , J.C. and Madariaga , R. ( 2017 ), “ The influence of sex and gender-role orientation in the decision to become an entrepreneur ”, International Journal of Gender and Entrepreneurship , Vol. 9 No. 1 , pp. 8 - 30 , doi: 10.1108/IJGE-12-2015-0047 .
Perrigino , M.B. , Kossek , E.E. , Thompson , R.J. and Bodner , T. ( 2021 ), “ How do changes in family role status impact employees? An empirical investigation ”, Journal of Humanities and Applied Social Sciences , Vol. ahead-of-print No. ahead-of-print , doi: 10.1108/JHASS-04-2021-0075 .
Petticrew , M. and Roberts , H. ( 2006 ), Systematic Reviews in the Social Sciences: A Practical Guide , Blackwell, Malden, MA; Oxford .
Priyashantha , K.G. , De Alwis , A.C. and Welmilla , I. ( 2021a ), “ The facets of gender stereotypes change: a systematic literature review ”, International Conference on Business and Information , Faculty of Commerce and Management Studies, University of Kelaniya, available at: http://repository.kln.ac.lk/handle/123456789/24018 .
Priyashantha , K.G. , De Alwis , A.C. and Welmilla , I. ( 2021b ), “ Three perspectives on changing gender stereotypes ”, FIIB Business Review , 231971452110496 , doi: 10.1177/23197145211049604 .
Priyashantha , K.G. , De Alwis , A.C. and Welmilla , I. ( 2021c ), “ Outcomes of egalitarian gender role attitudes: a systematic literature review ”, 281, available at: http://repository.kln.ac.lk/handle/123456789/23557 .
Ribeiro , Í.J.S. , Pereira , R. , Freire , I.V. , de Oliveira , B.G. , Casotti , C.A. and Boery , E.N. ( 2018 ), “ Stress and quality of life among university students: a systematic literature review ”, Health Professions Education , Vol. 4 No. 2 , pp. 70 - 77 , doi: 10.1016/j.hpe.2017.03.002 .
Rudman , L.A. and Glick , P. ( 2001 ), “ Prescriptive gender stereotypes and backlash toward agentic women ”, Journal of Social Issues , Vol. 57 No. 4 , pp. 743 - 762 , doi: 10.1111/0022-4537.00239 .
Rudman , L.A. , Moss-Racusin , C.A. , Phelan , J.E. and Nauts , S. ( 2012 ), “ Status incongruity and backlash effects: defending the gender hierarchy motivates prejudice against female leaders ”, Journal of Experimental Social Psychology , Vol. 48 No. 1 , pp. 165 - 179 , doi: 10.1016/j.jesp.2011.10.008 .
Schmitt , D.P. , Long , A.E. , McPhearson , A. , O'Brien , K. , Remmert , B. and Shah , S.H. ( 2017 ), “ Personality and gender differences in global perspective: gender and personality ”, International Journal of Psychology , Vol. 52 , pp. 45 - 56 , doi: 10.1002/ijop.12265 .
Sikdar , A. and Mitra , S. ( 2012 ), “ Gender‐role stereotypes: perception and practice of leadership in the Middle East ”, Education, Business and Society: Contemporary Middle Eastern Issues , Vol. 5 No. 3 , pp. 146 - 162 , doi: 10.1108/17537981211265534 .
Spence , J.T. and Hahn , E.D. ( 2016 ), “ The attitudes toward women scale and attitude change in college students ”, Psychology of Women Quarterly , Vol. 21 No. 1 , doi: 10.1111/j.1471-6402.1997.tb00098.x .
Tabassum , N. and Nayak , B.S. ( 2021 ), “ Gender stereotypes and their impact on women's career progressions from a managerial perspective ”, IIM Kozhikode Society and Management Review , Vol. 10 No. 2 , 227797522097551 , doi: 10.1177/2277975220975513 .
Twenge , J.M. ( 1997a ), “ Changes in masculine and feminine traits over time: a meta-analysis ”, Sex Roles: A Journal of Research , Vol. 36 Nos 5-6 , pp. 305 - 325 , doi: 10.1007/BF02766650 .
Twenge , J.M. ( 1997b ), “ Attitudes toward women, 1970-1995: a meta-analysis ”, Psychology of Women Quarterly , Vol. 21 No. 1 , pp. 35 - 51 , doi: 10.1111/j.1471-6402.1997.tb00099.x .
Twenge , J.M. , Campbell , W.K. and Gentile , B. ( 2012 ), “ Male and female pronoun use in US books reflects women's status, 1900-2008 ”, Sex Roles , Vol. 67 Nos 9-10 , pp. 488 - 493 , doi: 10.1007/s11199-012-0194-7 .
Ugwu , U.T. ( 2021 ), “ Gender and rural economic relations: ethnography of the nrobo of south eastern Nigeria ”, Journal of Humanities and Applied Social Sciences , Vol. ahead-of-print No. ahead-of-print , doi: 10.1108/JHASS-07-2020-0104 .
Vitali , A. and Arpino , B. ( 2016 ), “ Who brings home the bacon? The influence of context on partners' contributions to the household income ”, Demographic Research , Vol. 35 , pp. 1213 - 1244 , doi: 10.4054/DemRes.2016.35.41 .
Williams , J.E. and Best , D.L. ( 1990 ), Sex and Psyche: Gender and Self Viewed Cross-Culturally , Sage Publications, Thousand Oaks, CA .
Wood , R. and Ramirez , M.D. ( 2018 ), “ Exploring the microfoundations of the gender equality peace hypothesis ”, International Studies Review , Vol. 20 No. 3 , pp. 345 - 367 , doi: 10.1093/isr/vix016 .
Zosuls , K.M. , Miller , C.F. , Ruble , D.N. , Martin , C.L. and Fabes , R.A. ( 2011 ), “ Gender development research in sex roles: historical trends and future directions ”, Sex Roles , Vol. 64 Nos 11-12 , pp. 826 - 842 , doi: 10.1007/s11199-010-9902-3 .
Funding : No funding was available for this research
Authors Contributions : All authors contributed to the study conception, design, material preparation, data collection and analysis. All versions of drafts of the manuscript were written by Author 1, and other authors commented and revised. All authors read and approved the final manuscript.
Availability: Data collected during the current study are not publicly available. However, they can be available from the corresponding author upon reasonable request.
Conflicts of Interest : On behalf of all authors, the corresponding author states that there is no conflict of interest.
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There is controversy regarding whether gender differences are smaller or larger in societies that promote gender equality highlighting the need for an integrated analysis. This review examines literature correlating, on a national level, gender differences in basic skills-mathematics, science (including attitudes and anxiety), and reading-as well as personality, to gender equality indicators. The aim is to assess the cross-national pattern of these differences when linked to measures of gender equality and explore new explanatory variables that can shed light on this linkage. The review was based on quantitative research relating country-level measures of gender differences to gender equality composite indices and specific indicators. The findings show that the mathematics gender gap from the PISA and TIMMS assessments, is not linked to composite indices and specific indicators, but gender differences are larger in gender-equal countries for reading, mathematics attitudes, and personality (Big Five, HEXACO, Basic Human Values, and Vocational Interests). Research on science and overall scores (mathematics, science, and reading considered together) is inconclusive. It is proposed that the paradox in reading results from the interrelation between basic skills and the attempt to increase girls' mathematics abilities both acting simultaneously while the paradox in mathematics attitudes might be explained by girls being less exposed to mathematics than boys. On the other hand, a more nuanced understanding of the gender equality paradox in personality is advanced, in which a gene-environment-cultural interplay accounts for the phenomenon. Challenges for future cross-national research are discussed.
Keywords: basic skills; gender differences; gender equality; gender equality paradox; personality.
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Paola belingheri.
1 Dipartimento di Ingegneria dell’Energia, dei Sistemi, del Territorio e delle Costruzioni, Università degli Studi di Pisa, Largo L. Lazzarino, Pisa, Italy
Andrea fronzetti colladon.
2 Department of Engineering, University of Perugia, Perugia, Italy
3 Department of Management, Kozminski University, Warsaw, Poland
4 Faculty of Economics and Management, Centre for Family Business Management, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy
All relevant data are within the manuscript and its supporting information files. The only exception is the text of the abstracts (over 15,000) that we have downloaded from Scopus. These abstracts can be retrieved from Scopus, but we do not have permission to redistribute them.
Gender equality is a major problem that places women at a disadvantage thereby stymieing economic growth and societal advancement. In the last two decades, extensive research has been conducted on gender related issues, studying both their antecedents and consequences. However, existing literature reviews fail to provide a comprehensive and clear picture of what has been studied so far, which could guide scholars in their future research. Our paper offers a scoping review of a large portion of the research that has been published over the last 22 years, on gender equality and related issues, with a specific focus on business and economics studies. Combining innovative methods drawn from both network analysis and text mining, we provide a synthesis of 15,465 scientific articles. We identify 27 main research topics, we measure their relevance from a semantic point of view and the relationships among them, highlighting the importance of each topic in the overall gender discourse. We find that prominent research topics mostly relate to women in the workforce–e.g., concerning compensation, role, education, decision-making and career progression. However, some of them are losing momentum, and some other research trends–for example related to female entrepreneurship, leadership and participation in the board of directors–are on the rise. Besides introducing a novel methodology to review broad literature streams, our paper offers a map of the main gender-research trends and presents the most popular and the emerging themes, as well as their intersections, outlining important avenues for future research.
The persistent gender inequalities that currently exist across the developed and developing world are receiving increasing attention from economists, policymakers, and the general public [e.g., 1 – 3 ]. Economic studies have indicated that women’s education and entry into the workforce contributes to social and economic well-being [e.g., 4 , 5 ], while their exclusion from the labor market and from managerial positions has an impact on overall labor productivity and income per capita [ 6 , 7 ]. The United Nations selected gender equality, with an emphasis on female education, as part of the Millennium Development Goals [ 8 ], and gender equality at-large as one of the 17 Sustainable Development Goals (SDGs) to be achieved by 2030 [ 9 ]. These latter objectives involve not only developing nations, but rather all countries, to achieve economic, social and environmental well-being.
As is the case with many SDGs, gender equality is still far from being achieved and persists across education, access to opportunities, or presence in decision-making positions [ 7 , 10 , 11 ]. As we enter the last decade for the SDGs’ implementation, and while we are battling a global health pandemic, effective and efficient action becomes paramount to reach this ambitious goal.
Scholars have dedicated a massive effort towards understanding gender equality, its determinants, its consequences for women and society, and the appropriate actions and policies to advance women’s equality. Many topics have been covered, ranging from women’s education and human capital [ 12 , 13 ] and their role in society [e.g., 14 , 15 ], to their appointment in firms’ top ranked positions [e.g., 16 , 17 ] and performance implications [e.g., 18 , 19 ]. Despite some attempts, extant literature reviews provide a narrow view on these issues, restricted to specific topics–e.g., female students’ presence in STEM fields [ 20 ], educational gender inequality [ 5 ], the gender pay gap [ 21 ], the glass ceiling effect [ 22 ], leadership [ 23 ], entrepreneurship [ 24 ], women’s presence on the board of directors [ 25 , 26 ], diversity management [ 27 ], gender stereotypes in advertisement [ 28 ], or specific professions [ 29 ]. A comprehensive view on gender-related research, taking stock of key findings and under-studied topics is thus lacking.
Extant literature has also highlighted that gender issues, and their economic and social ramifications, are complex topics that involve a large number of possible antecedents and outcomes [ 7 ]. Indeed, gender equality actions are most effective when implemented in unison with other SDGs (e.g., with SDG 8, see [ 30 ]) in a synergetic perspective [ 10 ]. Many bodies of literature (e.g., business, economics, development studies, sociology and psychology) approach the problem of achieving gender equality from different perspectives–often addressing specific and narrow aspects. This sometimes leads to a lack of clarity about how different issues, circumstances, and solutions may be related in precipitating or mitigating gender inequality or its effects. As the number of papers grows at an increasing pace, this issue is exacerbated and there is a need to step back and survey the body of gender equality literature as a whole. There is also a need to examine synergies between different topics and approaches, as well as gaps in our understanding of how different problems and solutions work together. Considering the important topic of women’s economic and social empowerment, this paper aims to fill this gap by answering the following research question: what are the most relevant findings in the literature on gender equality and how do they relate to each other ?
To do so, we conduct a scoping review [ 31 ], providing a synthesis of 15,465 articles dealing with gender equity related issues published in the last twenty-two years, covering both the periods of the MDGs and the SDGs (i.e., 2000 to mid 2021) in all the journals indexed in the Academic Journal Guide’s 2018 ranking of business and economics journals. Given the huge amount of research conducted on the topic, we adopt an innovative methodology, which relies on social network analysis and text mining. These techniques are increasingly adopted when surveying large bodies of text. Recently, they were applied to perform analysis of online gender communication differences [ 32 ] and gender behaviors in online technology communities [ 33 ], to identify and classify sexual harassment instances in academia [ 34 ], and to evaluate the gender inclusivity of disaster management policies [ 35 ].
Applied to the title, abstracts and keywords of the articles in our sample, this methodology allows us to identify a set of 27 recurrent topics within which we automatically classify the papers. Introducing additional novelty, by means of the Semantic Brand Score (SBS) indicator [ 36 ] and the SBS BI app [ 37 ], we assess the importance of each topic in the overall gender equality discourse and its relationships with the other topics, as well as trends over time, with a more accurate description than that offered by traditional literature reviews relying solely on the number of papers presented in each topic.
This methodology, applied to gender equality research spanning the past twenty-two years, enables two key contributions. First, we extract the main message that each document is conveying and how this is connected to other themes in literature, providing a rich picture of the topics that are at the center of the discourse, as well as of the emerging topics. Second, by examining the semantic relationship between topics and how tightly their discourses are linked, we can identify the key relationships and connections between different topics. This semi-automatic methodology is also highly reproducible with minimum effort.
This literature review is organized as follows. In the next section, we present how we selected relevant papers and how we analyzed them through text mining and social network analysis. We then illustrate the importance of 27 selected research topics, measured by means of the SBS indicator. In the results section, we present an overview of the literature based on the SBS results–followed by an in-depth narrative analysis of the top 10 topics (i.e., those with the highest SBS) and their connections. Subsequently, we highlight a series of under-studied connections between the topics where there is potential for future research. Through this analysis, we build a map of the main gender-research trends in the last twenty-two years–presenting the most popular themes. We conclude by highlighting key areas on which research should focused in the future.
Our aim is to map a broad topic, gender equality research, that has been approached through a host of different angles and through different disciplines. Scoping reviews are the most appropriate as they provide the freedom to map different themes and identify literature gaps, thereby guiding the recommendation of new research agendas [ 38 ].
Several practical approaches have been proposed to identify and assess the underlying topics of a specific field using big data [ 39 – 41 ], but many of them fail without proper paper retrieval and text preprocessing. This is specifically true for a research field such as the gender-related one, which comprises the work of scholars from different backgrounds. In this section, we illustrate a novel approach for the analysis of scientific (gender-related) papers that relies on methods and tools of social network analysis and text mining. Our procedure has four main steps: (1) data collection, (2) text preprocessing, (3) keywords extraction and classification, and (4) evaluation of semantic importance and image.
In this study, we analyze 22 years of literature on gender-related research. Following established practice for scoping reviews [ 42 ], our data collection consisted of two main steps, which we summarize here below.
Firstly, we retrieved from the Scopus database all the articles written in English that contained the term “gender” in their title, abstract or keywords and were published in a journal listed in the Academic Journal Guide 2018 ranking of the Chartered Association of Business Schools (CABS) ( https://charteredabs.org/wp-content/uploads/2018/03/AJG2018-Methodology.pdf ), considering the time period from Jan 2000 to May 2021. We used this information considering that abstracts, titles and keywords represent the most informative part of a paper, while using the full-text would increase the signal-to-noise ratio for information extraction. Indeed, these textual elements already demonstrated to be reliable sources of information for the task of domain lexicon extraction [ 43 , 44 ]. We chose Scopus as source of literature because of its popularity, its update rate, and because it offers an API to ease the querying process. Indeed, while it does not allow to retrieve the full text of scientific articles, the Scopus API offers access to titles, abstracts, citation information and metadata for all its indexed scholarly journals. Moreover, we decided to focus on the journals listed in the AJG 2018 ranking because we were interested in reviewing business and economics related gender studies only. The AJG is indeed widely used by universities and business schools as a reference point for journal and research rigor and quality. This first step, executed in June 2021, returned more than 55,000 papers.
In the second step–because a look at the papers showed very sparse results, many of which were not in line with the topic of this literature review (e.g., papers dealing with health care or medical issues, where the word gender indicates the gender of the patients)–we applied further inclusion criteria to make the sample more focused on the topic of this literature review (i.e., women’s gender equality issues). Specifically, we only retained those papers mentioning, in their title and/or abstract, both gender-related keywords (e.g., daughter, female, mother) and keywords referring to bias and equality issues (e.g., equality, bias, diversity, inclusion). After text pre-processing (see next section), keywords were first identified from a frequency-weighted list of words found in the titles, abstracts and keywords in the initial list of papers, extracted through text mining (following the same approach as [ 43 ]). They were selected by two of the co-authors independently, following respectively a bottom up and a top-down approach. The bottom-up approach consisted of examining the words found in the frequency-weighted list and classifying those related to gender and equality. The top-down approach consisted in searching in the word list for notable gender and equality-related words. Table 1 reports the sets of keywords we considered, together with some examples of words that were used to search for their presence in the dataset (a full list is provided in the S1 Text ). At end of this second step, we obtained a final sample of 15,465 relevant papers.
Keyword set | Examples of searched words | |
---|---|---|
Gender | Bride | |
Daughter | , | |
Female | , | |
Femini | , , | |
Girl | ||
Lady | , | |
Maid | ||
Mother | , , | |
Queen | ||
Widow | ||
Wife | , | |
Woman | , | |
Equality | Bias | , , |
Diversity | , | |
Empower | , , | |
Equality | , , | |
Equity | , , | |
Homeworking | , , | |
Inclusion | , , | |
Quota | ||
Stereotype | , , |
Text preprocessing aims at structuring text into a form that can be analyzed by statistical models. In the present section, we describe the preprocessing steps we applied to paper titles and abstracts, which, as explained below, partially follow a standard text preprocessing pipeline [ 45 ]. These activities have been performed using the R package udpipe [ 46 ].
The first step is n-gram extraction (i.e., a sequence of words from a given text sample) to identify which n-grams are important in the analysis, since domain-specific lexicons are often composed by bi-grams and tri-grams [ 47 ]. Multi-word extraction is usually implemented with statistics and linguistic rules, thus using the statistical properties of n-grams or machine learning approaches [ 48 ]. However, for the present paper, we used Scopus metadata in order to have a more effective and efficient n-grams collection approach [ 49 ]. We used the keywords of each paper in order to tag n-grams with their associated keywords automatically. Using this greedy approach, it was possible to collect all the keywords listed by the authors of the papers. From this list, we extracted only keywords composed by two, three and four words, we removed all the acronyms and rare keywords (i.e., appearing in less than 1% of papers), and we clustered keywords showing a high orthographic similarity–measured using a Levenshtein distance [ 50 ] lower than 2, considering these groups of keywords as representing same concepts, but expressed with different spelling. After tagging the n-grams in the abstracts, we followed a common data preparation pipeline that consists of the following steps: (i) tokenization, that splits the text into tokens (i.e., single words and previously tagged multi-words); (ii) removal of stop-words (i.e. those words that add little meaning to the text, usually being very common and short functional words–such as “and”, “or”, or “of”); (iii) parts-of-speech tagging, that is providing information concerning the morphological role of a word and its morphosyntactic context (e.g., if the token is a determiner, the next token is a noun or an adjective with very high confidence, [ 51 ]); and (iv) lemmatization, which consists in substituting each word with its dictionary form (or lemma). The output of the latter step allows grouping together the inflected forms of a word. For example, the verbs “am”, “are”, and “is” have the shared lemma “be”, or the nouns “cat” and “cats” both share the lemma “cat”. We preferred lemmatization over stemming [ 52 ] in order to obtain more interpretable results.
In addition, we identified a further set of keywords (with respect to those listed in the “keywords” field) by applying a series of automatic words unification and removal steps, as suggested in past research [ 53 , 54 ]. We removed: sparse terms (i.e., occurring in less than 0.1% of all documents), common terms (i.e., occurring in more than 10% of all documents) and retained only nouns and adjectives. It is relevant to notice that no document was lost due to these steps. We then used the TF-IDF function [ 55 ] to produce a new list of keywords. We additionally tested other approaches for the identification and clustering of keywords–such as TextRank [ 56 ] or Latent Dirichlet Allocation [ 57 ]–without obtaining more informative results.
To guide the literature analysis, two experts met regularly to examine the sample of collected papers and to identify the main topics and trends in gender research. Initially, they conducted brainstorming sessions on the topics they expected to find, due to their knowledge of the literature. This led to an initial list of topics. Subsequently, the experts worked independently, also supported by the keywords in paper titles and abstracts extracted with the procedure described above.
Considering all this information, each expert identified and clustered relevant keywords into topics. At the end of the process, the two assignments were compared and exhibited a 92% agreement. Another meeting was held to discuss discordant cases and reach a consensus. This resulted in a list of 27 topics, briefly introduced in Table 2 and subsequently detailed in the following sections.
Topic | Short Description |
---|---|
Behavior | Behavioral aspects related to gender |
Board of directors | Women in boards of directors |
Career Progression | Women’s promotion and career advancement |
Compensation | Salary and rewards in relation to employment |
Culture | Ideas, customs and social behaviors, including bias and stereotypes |
Decision-making | The decision-making process |
Education | Primary, secondary and tertiary education |
Empowerment | Authority, power and self-confidence |
Entrepreneurship | Women starting their own enterprises |
Family | Women’s relationship with family and family obligations, wok-life balance |
Feminine | Female characteristics |
Governance | The governance structures of firms and society |
Hiring | Appointing women to positions within the workforce |
Human Capital | The intellectual capital resulting from education and social capital |
Leadership | Leadership skills and leadership positions |
Management | Managerial practices and processes |
Masculine | Male characteristics |
Network | Networking dynamics as they relate to women |
Organization | The organization of firms |
Parenting | The act of raising children and its implications |
Performance | Measuring the work output of individuals, teams and organizations |
Personality | Traits and individual characteristics of women |
Politics | Policies and regulations, women in politics |
Reputation | How women are viewed by their colleagues, peers and society |
Role | The roles covered by women in the workforce |
Sustainability | Women’s relation to sustainability and social responsibility |
Well-Being | Psychological, personal, and social welfare of women |
Working on the lemmatized corpus of the 15,465 papers included in our sample, we proceeded with the evaluation of semantic importance trends for each topic and with the analysis of their connections and prevalent textual associations. To this aim, we used the Semantic Brand Score indicator [ 36 ], calculated through the SBS BI webapp [ 37 ] that also produced a brand image report for each topic. For this study we relied on the computing resources of the ENEA/CRESCO infrastructure [ 58 ].
The Semantic Brand Score (SBS) is a measure of semantic importance that combines methods of social network analysis and text mining. It is usually applied for the analysis of (big) textual data to evaluate the importance of one or more brands, names, words, or sets of keywords [ 36 ]. Indeed, the concept of “brand” is intended in a flexible way and goes beyond products or commercial brands. In this study, we evaluate the SBS time-trends of the keywords defining the research topics discussed in the previous section. Semantic importance comprises the three dimensions of topic prevalence, diversity and connectivity. Prevalence measures how frequently a research topic is used in the discourse. The more a topic is mentioned by scientific articles, the more the research community will be aware of it, with possible increase of future studies; this construct is partly related to that of brand awareness [ 59 ]. This effect is even stronger, considering that we are analyzing the title, abstract and keywords of the papers, i.e. the parts that have the highest visibility. A very important characteristic of the SBS is that it considers the relationships among words in a text. Topic importance is not just a matter of how frequently a topic is mentioned, but also of the associations a topic has in the text. Specifically, texts are transformed into networks of co-occurring words, and relationships are studied through social network analysis [ 60 ]. This step is necessary to calculate the other two dimensions of our semantic importance indicator. Accordingly, a social network of words is generated for each time period considered in the analysis–i.e., a graph made of n nodes (words) and E edges weighted by co-occurrence frequency, with W being the set of edge weights. The keywords representing each topic were clustered into single nodes.
The construct of diversity relates to that of brand image [ 59 ], in the sense that it considers the richness and distinctiveness of textual (topic) associations. Considering the above-mentioned networks, we calculated diversity using the distinctiveness centrality metric–as in the formula presented by Fronzetti Colladon and Naldi [ 61 ].
Lastly, connectivity was measured as the weighted betweenness centrality [ 62 , 63 ] of each research topic node. We used the formula presented by Wasserman and Faust [ 60 ]. The dimension of connectivity represents the “brokerage power” of each research topic–i.e., how much it can serve as a bridge to connect other terms (and ultimately topics) in the discourse [ 36 ].
The SBS is the final composite indicator obtained by summing the standardized scores of prevalence, diversity and connectivity. Standardization was carried out considering all the words in the corpus, for each specific timeframe.
This methodology, applied to a large and heterogeneous body of text, enables to automatically identify two important sets of information that add value to the literature review. Firstly, the relevance of each topic in literature is measured through a composite indicator of semantic importance, rather than simply looking at word frequencies. This provides a much richer picture of the topics that are at the center of the discourse, as well as of the topics that are emerging in the literature. Secondly, it enables to examine the extent of the semantic relationship between topics, looking at how tightly their discourses are linked. In a field such as gender equality, where many topics are closely linked to each other and present overlaps in issues and solutions, this methodology offers a novel perspective with respect to traditional literature reviews. In addition, it ensures reproducibility over time and the possibility to semi-automatically update the analysis, as new papers become available.
In terms of descriptive textual statistics, our corpus is made of 15,465 text documents, consisting of a total of 2,685,893 lemmatized tokens (words) and 32,279 types. As a result, the type-token ratio is 1.2%. The number of hapaxes is 12,141, with a hapax-token ratio of 37.61%.
Fig 1 shows the list of 27 topics by decreasing SBS. The most researched topic is compensation , exceeding all others in prevalence, diversity, and connectivity. This means it is not only mentioned more often than other topics, but it is also connected to a greater number of other topics and is central to the discourse on gender equality. The next four topics are, in order of SBS, role , education , decision-making , and career progression . These topics, except for education , all concern women in the workforce. Between these first five topics and the following ones there is a clear drop in SBS scores. In particular, the topics that follow have a lower connectivity than the first five. They are hiring , performance , behavior , organization , and human capital . Again, except for behavior and human capital , the other three topics are purely related to women in the workforce. After another drop-off, the following topics deal prevalently with women in society. This trend highlights that research on gender in business journals has so far mainly paid attention to the conditions that women experience in business contexts, while also devoting some attention to women in society.
Fig 2 shows the SBS time series of the top 10 topics. While there has been a general increase in the number of Scopus-indexed publications in the last decade, we notice that some SBS trends remain steady, or even decrease. In particular, we observe that the main topic of the last twenty-two years, compensation , is losing momentum. Since 2016, it has been surpassed by decision-making , education and role , which may indicate that literature is increasingly attempting to identify root causes of compensation inequalities. Moreover, in the last two years, the topics of hiring , performance , and organization are experiencing the largest importance increase.
Fig 3 shows the SBS time trends of the remaining 17 topics (i.e., those not in the top 10). As we can see from the graph, there are some that maintain a steady trend–such as reputation , management , networks and governance , which also seem to have little importance. More relevant topics with average stationary trends (except for the last two years) are culture , family , and parenting . The feminine topic is among the most important here, and one of those that exhibit the larger variations over time (similarly to leadership ). On the other hand, the are some topics that, even if not among the most important, show increasing SBS trends; therefore, they could be considered as emerging topics and could become popular in the near future. These are entrepreneurship , leadership , board of directors , and sustainability . These emerging topics are also interesting to anticipate future trends in gender equality research that are conducive to overall equality in society.
In addition to the SBS score of the different topics, the network of terms they are associated to enables to gauge the extent to which their images (textual associations) overlap or differ ( Fig 4 ).
There is a central cluster of topics with high similarity, which are all connected with women in the workforce. The cluster includes topics such as organization , decision-making , performance , hiring , human capital , education and compensation . In addition, the topic of well-being is found within this cluster, suggesting that women’s equality in the workforce is associated to well-being considerations. The emerging topics of entrepreneurship and leadership are also closely connected with each other, possibly implying that leadership is a much-researched quality in female entrepreneurship. Topics that are relatively more distant include personality , politics , feminine , empowerment , management , board of directors , reputation , governance , parenting , masculine and network .
The following sections describe the top 10 topics and their main associations in literature (see Table 3 ), while providing a brief overview of the emerging topics.
Topic | Top associations (other topics in bold) |
---|---|
Behavior | social, work, , differences, related, , child, positive, group, individual, self, influence, relationship, stereotype, health, inequality, change, , student, participant, , , experience, , , intention |
Career Progression | , inequality, difference , work, social, equity, , , , , level, , development, policy, examine, role, self, experience, , support, , individual, , perceive, academic, differences |
Compensation | gap, , difference, inequality, , , work, increase, higher, lower, market, less, labor, household, low, , age, time, high, labour, attention, discrimination, change, country, individual, status |
Decision Making | , , social, work, , , inequality, household, group, policy, , process, , health, , level, role, individual, , , equity, , stereotype, different, , change |
Education | age, inequality, level, , study, social, health, gap, status, equity, student, , , child, , school, economic, policy, work, , experience, higher, access, household, development |
Hiring | , work, , , discrimination, level, , time, , gap, sector, , market, social, increase, status, , policy, inequality, experience, differences, lower, equity, high, data, satisfaction, |
Human Capital | , , work, , social, , , , self, , health, , , student, , group, child, individual, development, age, differences, lack, gap, focus, change |
Organization | work, , , inequality, , , social, diversity, policy, level, change, , employee, individual, , equity, , practice, value, , management, structure, discrimination, , |
Performance | , , , stereotype, work, , , , , self, impact, social, , , difference, high, firm, threat, student, inequality, role, , increase, relationship, experience |
Role | , , work, , , , firm, , , social, , role, , employee, less, increase, experience, traditional, , stereotype, sector, , business, gap, group, data |
The topic of compensation is related to the topics of role , hiring , education and career progression , however, also sees a very high association with the words gap and inequality . Indeed, a well-known debate in degrowth economics centers around whether and how to adequately compensate women for their childbearing, childrearing, caregiver and household work [e.g., 30 ].
Even in paid work, women continue being offered lower compensations than their male counterparts who have the same job or cover the same role [ 64 – 67 ]. This severe inequality has been widely studied by scholars over the last twenty-two years. Dealing with this topic, some specific roles have been addressed. Specifically, research highlighted differences in compensation between female and male CEOs [e.g., 68 ], top executives [e.g., 69 ], and boards’ directors [e.g., 70 ]. Scholars investigated the determinants of these gaps, such as the gender composition of the board [e.g., 71 – 73 ] or women’s individual characteristics [e.g., 71 , 74 ].
Among these individual characteristics, education plays a relevant role [ 75 ]. Education is indeed presented as the solution for women, not only to achieve top executive roles, but also to reduce wage inequality [e.g., 76 , 77 ]. Past research has highlighted education influences on gender wage gaps, specifically referring to gender differences in skills [e.g., 78 ], college majors [e.g., 79 ], and college selectivity [e.g., 80 ].
Finally, the wage gap issue is strictly interrelated with hiring –e.g., looking at whether being a mother affects hiring and compensation [e.g., 65 , 81 ] or relating compensation to unemployment [e.g., 82 ]–and career progression –for instance looking at meritocracy [ 83 , 84 ] or the characteristics of the boss for whom women work [e.g., 85 ].
The roles covered by women have been deeply investigated. Scholars have focused on the role of women in their families and the society as a whole [e.g., 14 , 15 ], and, more widely, in business contexts [e.g., 18 , 81 ]. Indeed, despite still lagging behind their male counterparts [e.g., 86 , 87 ], in the last decade there has been an increase in top ranked positions achieved by women [e.g., 88 , 89 ]. Following this phenomenon, scholars have posed greater attention towards the presence of women in the board of directors [e.g., 16 , 18 , 90 , 91 ], given the increasing pressure to appoint female directors that firms, especially listed ones, have experienced. Other scholars have focused on the presence of women covering the role of CEO [e.g., 17 , 92 ] or being part of the top management team [e.g., 93 ]. Irrespectively of the level of analysis, all these studies tried to uncover the antecedents of women’s presence among top managers [e.g., 92 , 94 ] and the consequences of having a them involved in the firm’s decision-making –e.g., on performance [e.g., 19 , 95 , 96 ], risk [e.g., 97 , 98 ], and corporate social responsibility [e.g., 99 , 100 ].
Besides studying the difficulties and discriminations faced by women in getting a job [ 81 , 101 ], and, more specifically in the hiring , appointment, or career progression to these apical roles [e.g., 70 , 83 ], the majority of research of women’s roles dealt with compensation issues. Specifically, scholars highlight the pay-gap that still exists between women and men, both in general [e.g., 64 , 65 ], as well as referring to boards’ directors [e.g., 70 , 102 ], CEOs and executives [e.g., 69 , 103 , 104 ].
Finally, other scholars focused on the behavior of women when dealing with business. In this sense, particular attention has been paid to leadership and entrepreneurial behaviors. The former quite overlaps with dealing with the roles mentioned above, but also includes aspects such as leaders being stereotyped as masculine [e.g., 105 ], the need for greater exposure to female leaders to reduce biases [e.g., 106 ], or female leaders acting as queen bees [e.g., 107 ]. Regarding entrepreneurship , scholars mainly investigated women’s entrepreneurial entry [e.g., 108 , 109 ], differences between female and male entrepreneurs in the evaluations and funding received from investors [e.g., 110 , 111 ], and their performance gap [e.g., 112 , 113 ].
Education has long been recognized as key to social advancement and economic stability [ 114 ], for job progression and also a barrier to gender equality, especially in STEM-related fields. Research on education and gender equality is mostly linked with the topics of compensation , human capital , career progression , hiring , parenting and decision-making .
Education contributes to a higher human capital [ 115 ] and constitutes an investment on the part of women towards their future. In this context, literature points to the gender gap in educational attainment, and the consequences for women from a social, economic, personal and professional standpoint. Women are found to have less access to formal education and information, especially in emerging countries, which in turn may cause them to lose social and economic opportunities [e.g., 12 , 116 – 119 ]. Education in local and rural communities is also paramount to communicate the benefits of female empowerment , contributing to overall societal well-being [e.g., 120 ].
Once women access education, the image they have of the world and their place in society (i.e., habitus) affects their education performance [ 13 ] and is passed on to their children. These situations reinforce gender stereotypes, which become self-fulfilling prophecies that may negatively affect female students’ performance by lowering their confidence and heightening their anxiety [ 121 , 122 ]. Besides formal education, also the information that women are exposed to on a daily basis contributes to their human capital . Digital inequalities, for instance, stems from men spending more time online and acquiring higher digital skills than women [ 123 ].
Education is also a factor that should boost employability of candidates and thus hiring , career progression and compensation , however the relationship between these factors is not straightforward [ 115 ]. First, educational choices ( decision-making ) are influenced by variables such as self-efficacy and the presence of barriers, irrespectively of the career opportunities they offer, especially in STEM [ 124 ]. This brings additional difficulties to women’s enrollment and persistence in scientific and technical fields of study due to stereotypes and biases [ 125 , 126 ]. Moreover, access to education does not automatically translate into job opportunities for women and minority groups [ 127 , 128 ] or into female access to managerial positions [ 129 ].
Finally, parenting is reported as an antecedent of education [e.g., 130 ], with much of the literature focusing on the role of parents’ education on the opportunities afforded to children to enroll in education [ 131 – 134 ] and the role of parenting in their offspring’s perception of study fields and attitudes towards learning [ 135 – 138 ]. Parental education is also a predictor of the other related topics, namely human capital and compensation [ 139 ].
This literature mainly points to the fact that women are thought to make decisions differently than men. Women have indeed different priorities, such as they care more about people’s well-being, working with people or helping others, rather than maximizing their personal (or their firm’s) gain [ 140 ]. In other words, women typically present more communal than agentic behaviors, which are instead more frequent among men [ 141 ]. These different attitude, behavior and preferences in turn affect the decisions they make [e.g., 142 ] and the decision-making of the firm in which they work [e.g., 143 ].
At the individual level, gender affects, for instance, career aspirations [e.g., 144 ] and choices [e.g., 142 , 145 ], or the decision of creating a venture [e.g., 108 , 109 , 146 ]. Moreover, in everyday life, women and men make different decisions regarding partners [e.g., 147 ], childcare [e.g., 148 ], education [e.g., 149 ], attention to the environment [e.g., 150 ] and politics [e.g., 151 ].
At the firm level, scholars highlighted, for example, how the presence of women in the board affects corporate decisions [e.g., 152 , 153 ], that female CEOs are more conservative in accounting decisions [e.g., 154 ], or that female CFOs tend to make more conservative decisions regarding the firm’s financial reporting [e.g., 155 ]. Nevertheless, firm level research also investigated decisions that, influenced by gender bias, affect women, such as those pertaining hiring [e.g., 156 , 157 ], compensation [e.g., 73 , 158 ], or the empowerment of women once appointed [ 159 ].
Once women have entered the workforce, the key aspect to achieve gender equality becomes career progression , including efforts toward overcoming the glass ceiling. Indeed, according to the SBS analysis, career progression is highly related to words such as work, social issues and equality. The topic with which it has the highest semantic overlap is role , followed by decision-making , hiring , education , compensation , leadership , human capital , and family .
Career progression implies an advancement in the hierarchical ladder of the firm, assigning managerial roles to women. Coherently, much of the literature has focused on identifying rationales for a greater female participation in the top management team and board of directors [e.g., 95 ] as well as the best criteria to ensure that the decision-makers promote the most valuable employees irrespectively of their individual characteristics, such as gender [e.g., 84 ]. The link between career progression , role and compensation is often provided in practice by performance appraisal exercises, frequently rooted in a culture of meritocracy that guides bonuses, salary increases and promotions. However, performance appraisals can actually mask gender-biased decisions where women are held to higher standards than their male colleagues [e.g., 83 , 84 , 95 , 160 , 161 ]. Women often have less opportunities to gain leadership experience and are less visible than their male colleagues, which constitute barriers to career advancement [e.g., 162 ]. Therefore, transparency and accountability, together with procedures that discourage discretionary choices, are paramount to achieve a fair career progression [e.g., 84 ], together with the relaxation of strict job boundaries in favor of cross-functional and self-directed tasks [e.g., 163 ].
In addition, a series of stereotypes about the type of leadership characteristics that are required for top management positions, which fit better with typical male and agentic attributes, are another key barrier to career advancement for women [e.g., 92 , 160 ].
Hiring is the entrance gateway for women into the workforce. Therefore, it is related to other workforce topics such as compensation , role , career progression , decision-making , human capital , performance , organization and education .
A first stream of literature focuses on the process leading up to candidates’ job applications, demonstrating that bias exists before positions are even opened, and it is perpetuated both by men and women through networking and gatekeeping practices [e.g., 164 , 165 ].
The hiring process itself is also subject to biases [ 166 ], for example gender-congruity bias that leads to men being preferred candidates in male-dominated sectors [e.g., 167 ], women being hired in positions with higher risk of failure [e.g., 168 ] and limited transparency and accountability afforded by written processes and procedures [e.g., 164 ] that all contribute to ascriptive inequality. In addition, providing incentives for evaluators to hire women may actually work to this end; however, this is not the case when supporting female candidates endangers higher-ranking male ones [ 169 ].
Another interesting perspective, instead, looks at top management teams’ composition and the effects on hiring practices, indicating that firms with more women in top management are less likely to lay off staff [e.g., 152 ].
Several scholars posed their attention towards women’s performance, its consequences [e.g., 170 , 171 ] and the implications of having women in decision-making positions [e.g., 18 , 19 ].
At the individual level, research focused on differences in educational and academic performance between women and men, especially referring to the gender gap in STEM fields [e.g., 171 ]. The presence of stereotype threats–that is the expectation that the members of a social group (e.g., women) “must deal with the possibility of being judged or treated stereotypically, or of doing something that would confirm the stereotype” [ 172 ]–affects women’s interested in STEM [e.g., 173 ], as well as their cognitive ability tests, penalizing them [e.g., 174 ]. A stronger gender identification enhances this gap [e.g., 175 ], whereas mentoring and role models can be used as solutions to this problem [e.g., 121 ]. Despite the negative effect of stereotype threats on girls’ performance [ 176 ], female and male students perform equally in mathematics and related subjects [e.g., 177 ]. Moreover, while individuals’ performance at school and university generally affects their achievements and the field in which they end up working, evidence reveals that performance in math or other scientific subjects does not explain why fewer women enter STEM working fields; rather this gap depends on other aspects, such as culture, past working experiences, or self-efficacy [e.g., 170 ]. Finally, scholars have highlighted the penalization that women face for their positive performance, for instance when they succeed in traditionally male areas [e.g., 178 ]. This penalization is explained by the violation of gender-stereotypic prescriptions [e.g., 179 , 180 ], that is having women well performing in agentic areas, which are typical associated to men. Performance penalization can thus be overcome by clearly conveying communal characteristics and behaviors [ 178 ].
Evidence has been provided on how the involvement of women in boards of directors and decision-making positions affects firms’ performance. Nevertheless, results are mixed, with some studies showing positive effects on financial [ 19 , 181 , 182 ] and corporate social performance [ 99 , 182 , 183 ]. Other studies maintain a negative association [e.g., 18 ], and other again mixed [e.g., 184 ] or non-significant association [e.g., 185 ]. Also with respect to the presence of a female CEO, mixed results emerged so far, with some researches demonstrating a positive effect on firm’s performance [e.g., 96 , 186 ], while other obtaining only a limited evidence of this relationship [e.g., 103 ] or a negative one [e.g., 187 ].
Finally, some studies have investigated whether and how women’s performance affects their hiring [e.g., 101 ] and career progression [e.g., 83 , 160 ]. For instance, academic performance leads to different returns in hiring for women and men. Specifically, high-achieving men are called back significantly more often than high-achieving women, which are penalized when they have a major in mathematics; this result depends on employers’ gendered standards for applicants [e.g., 101 ]. Once appointed, performance ratings are more strongly related to promotions for women than men, and promoted women typically show higher past performance ratings than those of promoted men. This suggesting that women are subject to stricter standards for promotion [e.g., 160 ].
Behavioral aspects related to gender follow two main streams of literature. The first examines female personality and behavior in the workplace, and their alignment with cultural expectations or stereotypes [e.g., 188 ] as well as their impacts on equality. There is a common bias that depicts women as less agentic than males. Certain characteristics, such as those more congruent with male behaviors–e.g., self-promotion [e.g., 189 ], negotiation skills [e.g., 190 ] and general agentic behavior [e.g., 191 ]–, are less accepted in women. However, characteristics such as individualism in women have been found to promote greater gender equality in society [ 192 ]. In addition, behaviors such as display of emotions [e.g., 193 ], which are stereotypically female, work against women’s acceptance in the workplace, requiring women to carefully moderate their behavior to avoid exclusion. A counter-intuitive result is that women and minorities, which are more marginalized in the workplace, tend to be better problem-solvers in innovation competitions due to their different knowledge bases [ 194 ].
The other side of the coin is examined in a parallel literature stream on behavior towards women in the workplace. As a result of biases, prejudices and stereotypes, women may experience adverse behavior from their colleagues, such as incivility and harassment, which undermine their well-being [e.g., 195 , 196 ]. Biases that go beyond gender, such as for overweight people, are also more strongly applied to women [ 197 ].
The role of women and gender bias in organizations has been studied from different perspectives, which mirror those presented in detail in the following sections. Specifically, most research highlighted the stereotypical view of leaders [e.g., 105 ] and the roles played by women within firms, for instance referring to presence in the board of directors [e.g., 18 , 90 , 91 ], appointment as CEOs [e.g., 16 ], or top executives [e.g., 93 ].
Scholars have investigated antecedents and consequences of the presence of women in these apical roles. On the one side they looked at hiring and career progression [e.g., 83 , 92 , 160 , 168 , 198 ], finding women typically disadvantaged with respect to their male counterparts. On the other side, they studied women’s leadership styles and influence on the firm’s decision-making [e.g., 152 , 154 , 155 , 199 ], with implications for performance [e.g., 18 , 19 , 96 ].
Human capital is a transverse topic that touches upon many different aspects of female gender equality. As such, it has the most associations with other topics, starting with education as mentioned above, with career-related topics such as role , decision-making , hiring , career progression , performance , compensation , leadership and organization . Another topic with which there is a close connection is behavior . In general, human capital is approached both from the education standpoint but also from the perspective of social capital.
The behavioral aspect in human capital comprises research related to gender differences for example in cultural and religious beliefs that influence women’s attitudes and perceptions towards STEM subjects [ 142 , 200 – 202 ], towards employment [ 203 ] or towards environmental issues [ 150 , 204 ]. These cultural differences also emerge in the context of globalization which may accelerate gender equality in the workforce [ 205 , 206 ]. Gender differences also appear in behaviors such as motivation [ 207 ], and in negotiation [ 190 ], and have repercussions on women’s decision-making related to their careers. The so-called gender equality paradox sees women in countries with lower gender equality more likely to pursue studies and careers in STEM fields, whereas the gap in STEM enrollment widens as countries achieve greater equality in society [ 171 ].
Career progression is modeled by literature as a choice-process where personal preferences, culture and decision-making affect the chosen path and the outcomes. Some literature highlights how women tend to self-select into different professions than men, often due to stereotypes rather than actual ability to perform in these professions [ 142 , 144 ]. These stereotypes also affect the perceptions of female performance or the amount of human capital required to equal male performance [ 110 , 193 , 208 ], particularly for mothers [ 81 ]. It is therefore often assumed that women are better suited to less visible and less leadership -oriented roles [ 209 ]. Women also express differing preferences towards work-family balance, which affect whether and how they pursue human capital gains [ 210 ], and ultimately their career progression and salary .
On the other hand, men are often unaware of gendered processes and behaviors that they carry forward in their interactions and decision-making [ 211 , 212 ]. Therefore, initiatives aimed at increasing managers’ human capital –by raising awareness of gender disparities in their organizations and engaging them in diversity promotion–are essential steps to counter gender bias and segregation [ 213 ].
Among the emerging topics, the most pervasive one is women reaching leadership positions in the workforce and in society. This is still a rare occurrence for two main types of factors, on the one hand, bias and discrimination make it harder for women to access leadership positions [e.g., 214 – 216 ], on the other hand, the competitive nature and high pressure associated with leadership positions, coupled with the lack of women currently represented, reduce women’s desire to achieve them [e.g., 209 , 217 ]. Women are more effective leaders when they have access to education, resources and a diverse environment with representation [e.g., 218 , 219 ].
One sector where there is potential for women to carve out a leadership role is entrepreneurship . Although at the start of the millennium the discourse on entrepreneurship was found to be “discriminatory, gender-biased, ethnocentrically determined and ideologically controlled” [ 220 ], an increasing body of literature is studying how to stimulate female entrepreneurship as an alternative pathway to wealth, leadership and empowerment [e.g., 221 ]. Many barriers exist for women to access entrepreneurship, including the institutional and legal environment, social and cultural factors, access to knowledge and resources, and individual behavior [e.g., 222 , 223 ]. Education has been found to raise women’s entrepreneurial intentions [e.g., 224 ], although this effect is smaller than for men [e.g., 109 ]. In addition, increasing self-efficacy and risk-taking behavior constitute important success factors [e.g., 225 ].
Finally, the topic of sustainability is worth mentioning, as it is the primary objective of the SDGs and is closely associated with societal well-being. As society grapples with the effects of climate change and increasing depletion of natural resources, a narrative has emerged on women and their greater link to the environment [ 226 ]. Studies in developed countries have found some support for women leaders’ attention to sustainability issues in firms [e.g., 227 – 229 ], and smaller resource consumption by women [ 230 ]. At the same time, women will likely be more affected by the consequences of climate change [e.g., 230 ] but often lack the decision-making power to influence local decision-making on resource management and environmental policies [e.g., 231 ].
Research on gender equality has advanced rapidly in the past decades, with a steady increase in publications, both in mainstream topics related to women in education and the workforce, and in emerging topics. Through a novel approach combining methods of text mining and social network analysis, we examined a comprehensive body of literature comprising 15,465 papers published between 2000 and mid 2021 on topics related to gender equality. We identified a set of 27 topics addressed by the literature and examined their connections.
At the highest level of abstraction, it is worth noting that papers abound on the identification of issues related to gender inequalities and imbalances in the workforce and in society. Literature has thoroughly examined the (unconscious) biases, barriers, stereotypes, and discriminatory behaviors that women are facing as a result of their gender. Instead, there are much fewer papers that discuss or demonstrate effective solutions to overcome gender bias [e.g., 121 , 143 , 145 , 163 , 194 , 213 , 232 ]. This is partly due to the relative ease in studying the status quo, as opposed to studying changes in the status quo. However, we observed a shift in the more recent years towards solution seeking in this domain, which we strongly encourage future researchers to focus on. In the future, we may focus on collecting and mapping pro-active contributions to gender studies, using additional Natural Language Processing techniques, able to measure the sentiment of scientific papers [ 43 ].
All of the mainstream topics identified in our literature review are closely related, and there is a wealth of insights looking at the intersection between issues such as education and career progression or human capital and role . However, emerging topics are worthy of being furtherly explored. It would be interesting to see more work on the topic of female entrepreneurship , exploring aspects such as education , personality , governance , management and leadership . For instance, how can education support female entrepreneurship? How can self-efficacy and risk-taking behaviors be taught or enhanced? What are the differences in managerial and governance styles of female entrepreneurs? Which personality traits are associated with successful entrepreneurs? Which traits are preferred by venture capitalists and funding bodies?
The emerging topic of sustainability also deserves further attention, as our society struggles with climate change and its consequences. It would be interesting to see more research on the intersection between sustainability and entrepreneurship , looking at how female entrepreneurs are tackling sustainability issues, examining both their business models and their company governance . In addition, scholars are suggested to dig deeper into the relationship between family values and behaviors.
Moreover, it would be relevant to understand how women’s networks (social capital), or the composition and structure of social networks involving both women and men, enable them to increase their remuneration and reach top corporate positions, participate in key decision-making bodies, and have a voice in communities. Furthermore, the achievement of gender equality might significantly change firm networks and ecosystems, with important implications for their performance and survival.
Similarly, research at the nexus of (corporate) governance , career progression , compensation and female empowerment could yield useful insights–for example discussing how enterprises, institutions and countries are managed and the impact for women and other minorities. Are there specific governance structures that favor diversity and inclusion?
Lastly, we foresee an emerging stream of research pertaining how the spread of the COVID-19 pandemic challenged women, especially in the workforce, by making gender biases more evident.
For our analysis, we considered a set of 15,465 articles downloaded from the Scopus database (which is the largest abstract and citation database of peer-reviewed literature). As we were interested in reviewing business and economics related gender studies, we only considered those papers published in journals listed in the Academic Journal Guide (AJG) 2018 ranking of the Chartered Association of Business Schools (CABS). All the journals listed in this ranking are also indexed by Scopus. Therefore, looking at a single database (i.e., Scopus) should not be considered a limitation of our study. However, future research could consider different databases and inclusion criteria.
With our literature review, we offer researchers a comprehensive map of major gender-related research trends over the past twenty-two years. This can serve as a lens to look to the future, contributing to the achievement of SDG5. Researchers may use our study as a starting point to identify key themes addressed in the literature. In addition, our methodological approach–based on the use of the Semantic Brand Score and its webapp–could support scholars interested in reviewing other areas of research.
Acknowledgments.
The computing resources and the related technical support used for this work have been provided by CRESCO/ENEAGRID High Performance Computing infrastructure and its staff. CRESCO/ENEAGRID High Performance Computing infrastructure is funded by ENEA, the Italian National Agency for New Technologies, Energy and Sustainable Economic Development and by Italian and European research programmes (see http://www.cresco.enea.it/english for information).
P.B and F.C.: Grant of the Department of Energy, Systems, Territory and Construction of the University of Pisa (DESTEC) for the project “Measuring Gender Bias with Semantic Analysis: The Development of an Assessment Tool and its Application in the European Space Industry. P.B., F.C., A.F.C., P.R.: Grant of the Italian Association of Management Engineering (AiIG), “Misure di sostegno ai soci giovani AiIG” 2020, for the project “Gender Equality Through Data Intelligence (GEDI)”. F.C.: EU project ASSETs+ Project (Alliance for Strategic Skills addressing Emerging Technologies in Defence) EAC/A03/2018 - Erasmus+ programme, Sector Skills Alliances, Lot 3: Sector Skills Alliance for implementing a new strategic approach (Blueprint) to sectoral cooperation on skills G.A. NUMBER: 612678-EPP-1-2019-1-IT-EPPKA2-SSA-B.
Linking gender differences with gender equality: a systematic-narrative literature review of basic skills and personality.
There is controversy regarding whether gender differences are smaller or larger in societies that promote gender equality highlighting the need for an integrated analysis. This review examines literature correlating, on a national level, gender differences in basic skills—mathematics, science (including attitudes and anxiety), and reading—as well as personality, to gender equality indicators. The aim is to assess the cross-national pattern of these differences when linked to measures of gender equality and explore new explanatory variables that can shed light on this linkage. The review was based on quantitative research relating country-level measures of gender differences to gender equality composite indices and specific indicators. The findings show that the mathematics gender gap from the PISA and TIMMS assessments, is not linked to composite indices and specific indicators, but gender differences are larger in gender-equal countries for reading, mathematics attitudes, and personality (Big Five, HEXACO, Basic Human Values, and Vocational Interests). Research on science and overall scores (mathematics, science, and reading considered together) is inconclusive. It is proposed that the paradox in reading results from the interrelation between basic skills and the attempt to increase girls’ mathematics abilities both acting simultaneously while the paradox in mathematics attitudes might be explained by girls being less exposed to mathematics than boys. On the other hand, a more nuanced understanding of the gender equality paradox in personality is advanced, in which a gene–environment-cultural interplay accounts for the phenomenon. Challenges for future cross-national research are discussed.
Despite Western countries having considerably advanced in gender equality, gender horizontal segregation remains among the main drivers of economic gender inequality ( Cech, 2013 ). Women have entered the labor market at increasingly high rates since the 70s, nevertheless, they often still work in specific sectors with substantial effects on their income ( Cortes and Pan, 2018 ). Gender segregation is already visible at the educational level where girls are overrepresented in disciplines such as Social Sciences and Humanities; these subjects are characterized by lower labor market prospects and income ( van de Werfhorst, 2017 ). On the other hand, boys prefer STEM fields which offer high-salaried and more status-related careers ( Barone and Assirelli, 2020 ). To explain the phenomenon, scholars in sociology and psychology have been particularly interested in basic skills and personality gender variances due to their influence on gendered career choices and outcomes ( Rosenbloom et al., 2008 ; Dekhtyar et al., 2018 ; Stoet and Geary, 2018 ).
Regardless of doubts about their magnitude ( Hyde, 2005 ; Archer, 2019 ; Hirnstein et al., 2022 ), gender differences in basic skills and personality are well-established in the literature ( Halpern, 2000 ; Halpern et al., 2007 ; Geary, 2010 ; Weisberg et al., 2011 ). The gender gaps favoring boys in mathematics and science are close to zero on average but observable at the upper and lower tails of the distribution ( Halpern et al., 2007 ; Wai et al., 2018 ). Conversely, differences in reading skills (women > men) are more pronounced and already noticeable when comparing men’s and women’s statistical means ( Halpern, 2000 ; Moè et al., 2021 ). Regarding personality (Big Five, HEXACO, Basic Human Values, and Vocational Interests), gender variances, although small to medium, occur across models and share a similar pattern. On the one hand, women score higher in negative emotions and reciprocity as well as prefer to “work with people.” On the other hand, men have more realistic preferences and regard status-related values more ( Schwartz and Rubel, 2005 ; Schmitt et al., 2008 ; Su et al., 2009 ; Lee and Ashton, 2018 ). On a national level, however, the link between these gender differences and gender equality, measured using conventional indicators such as the World Economic Forum’s Global Gender Gap Index (GGI), remains unclear with scholars making contrasting predictions.
Numerous social-role theories of gender differences expect that the gaps between men and women will decrease as equality between them is achieved ( Eagly and Mitchell, 2004 ; Else-Quest et al., 2010 ). These theories argue that cognitive and personality gender differences are derived from socially constructed gender identities based on erroneous essential beliefs (stereotypes) that men and women are intrinsically different ( Wood and Eagly, 2013 ). Gender stereotypes originate from the division of labor in ancient hunter-gatherer societies, in which greater strength allowed men to engage in more power-related activities, while women were tasked with nurturing duties because of their ability to breastfeed ( Eagly and Wood, 1999 ). Stereotypes would emerge early in life, with elementary school children already consistently engaging in gender essentialism, gender stereotyping, and implicit gender associations ( Meyer and Gelman, 2016 ). Parents, teachers, and friends are responsible for reinforcing them, rewarding children for behaving according to gendered expectations ( Gunderson et al., 2012 ), thereby making gender a “primary framing device for social relations” ( Ridgeway, 2006 ). As a result, boys and girls grow up into adults who have gender-specific roles in society and experience gender-conforming environments that shape their distinct skills and personalities ( Diekman and Schneider, 2010 ). The common assumption underlying these theories predicts that essentialist beliefs decrease in countries with higher gender equality. If this is true, empirical research will find smaller gender differences in more gender-equal nations.
Other studies have theorized an opposite trend, with men and women becoming increasingly dissimilar in gender-equal countries ( Charles and Bradley, 2009 ; Kaiser, 2019 ). Recently, Stoet and Geary (2018) labeled this phenomenon “the gender equality paradox.” Some have proposed that this paradox results from an emphasis on individualism and a societal system designed to accommodate women in what is perceived to be their gendered role ( Charles and Grusky, 2018 ). Others have applied an evolutionary approach and argued that in less unequal environments, men and women freely express their intrinsic differences as the privileged access to resources in “more prosperous and more egalitarian” societies favors the emergence of specific gender-evolved behaviors ( Schmitt et al., 2008 ).
Although the topic of gender difference has been widely discussed, whether men and women become progressively similar or different when greater equality between them has been achieved remains uncertain. This paper reviews several theories hypothesizing contrasting patterns, and then turns to the recent scientific debate on gender differences in basic skills from the PISA and TIMMS assessments, as well as personality (Big Five, HEXACO, Basic Human Values, and Vocational Interests) to consider how they relate to measures of gender equality on a national level. Several challenges for future cross-national research are also highlighted. Specifically, the present review indicates that the correlation between gender differences in mathematics and gender equality may derive from the lack of country-level effects in the models, while ecological stress (food consumption and historical levels of pathogen prevalence) may confound the results for personality. In addition, the paper examines explanations of the paradox in different domains and proposes a novel theory to explain the gender equality paradox in personality, where a “feedback-loop” effect (gene–environment-culture interplay) might account for the phenomenon.
The narrative approach was assessed to be the most suitable method for this study. Compared to more analytical methods, it allows for deeper insights into the ongoing debate ( Graham, 1995 ). However, issues may arise with this method due to bias in paper selection and interpretation ( Dijkers, 2009 ). To avoid these issues, the author implemented a systematic approach based on PRISMA guidelines together with the narrative method.
To be eligible for inclusion, papers had to have been published between 2009 and 2022, and they had to describe quantitative cross-national research analyzing gender differences associated with measures of gender equality (composite indices or specific indicators) utilizing international data. The selected studies were divided into two groups—basic skills and personality—then further divided into multiple subgroups: mathematics, science (including attitudes and anxiety), reading, and overall scores for basic skills, as well as the Big Five, the HEXACO model, basic human values and vocational interests for personality factors. Since they had fewer available papers, the Big Five and HEXACO, as well as basic human values and vocational interests categories were combined.
Published studies were selected from Scopus, Web of Science, Social Science Database, and Google Scholar. The final search was conducted on all databases in November 2022.
The research focused on gender differences in basic skills and personality due to their strong relationships with horizontal gender segregation. Thus, the main search words were “gender/sex differences in mathematics/reading/science,” “gender/sex differences in personality,” “gender/sex differences in basic human values” and “gender/sex differences in vocational interests.” The search was then refined using “gender equality/egalitarianism/inequality” as parameters.
Only papers published in English were considered, and they were selected based on their titles, abstracts, and keywords. This study’s author was primarily responsible for the selection, although two other scholars supervised the process and ensured systematic application of the selection criteria.
Ninety-one papers were preselected; 35 were excluded after deeper screening because they did not match the selection criteria. An additional 25 studies were excluded because they studied gender differences outside the domains of interest. Consequently, 31 papers were included in the study.
3.1. gender differences.
On a national level, gender differences in basic skills and personality have been repeatedly described. Research has shown that boys slightly outperform girls in complex mathematical riddles ( Reilly et al., 2019 ); this difference has been associated with men’s overrepresentation in STEM fields ( Dekhtyar et al., 2018 ). Although the difference approaches zero, gaps are especially visible among the top and lower performers because of the higher variability in boys ( Lindberg et al., 2010 ; Wai et al., 2018 ). Stated otherwise, while there are barely any differences on average, the men’s distribution has a flatter curve, yielding higher values at both the lowest and highest ends. Similarly, men appear to have a small advantage over women in science, with differences particularly visible at the top end of the distribution; however, men are also overrepresented among the lowest performers ( Halpern, 2000 ).
Mathematics and science achievement is influenced not only by skills, but also by mathematics and science attitudes, test anxiety, and self-efficacy ( Ashcraft and Moore, 2009 ; Geary et al., 2019 ). These dimensions are believed to be strong determinants of STEM careers and contribute to the underrepresentation of women in these fields ( Moakler and Kim, 2014 ; Sax et al., 2015 ). Research has shown that men generally report more enjoyment and positive attitudes than women when engaging in mathematical activities ( Ganley and Vasilyeva, 2011 ; Devine et al., 2012 ).
By contrast, women perform substantially better than men on verbal tasks ( Moè et al., 2021 ), with girls using a broader vocabulary than boys on average by age two ( Halpern, 2000 ; van der Slik et al., 2015 ). Verbal abilities comprise various skills, and gender differences are most prominent in the reading dimension, where the girls’ advantage is three times wider than the boys’ advantage in mathematics ( Stoet and Geary, 2013 ). Nevertheless, Hirnstein et al. (2022) have cast some doubts on the magnitude of gender differences in verbal abilities claiming that publication bias might have influenced the results.
Cognitive abilities are largely interrelated. For example, high math skills predict higher reading scores and vice versa ( Bos et al., 2012 ; Reilly, 2012 ). Women’s mean overall scores considerably outperform men’s, even though the latter appears to be better positioned at the top and lower tails of the distribution, a finding that supports the higher men variability hypothesis ( Halpern et al., 2007 ; Bergold et al., 2017 ).
Turning to personality, gender differences are reported across the Big Five traits (openness, conscientiousness, extraversion, agreeableness, and neuroticism) and the HEXACO model (honesty–humility, emotionality, extraversion, agreeableness, conscientiousness, and openness), suggesting small to moderate gaps depending on the test and dimension analyzed. Specifically, women score higher in both neuroticism and agreeableness ( Costa et al., 2001 ; Schmitt et al., 2008 ; Murphy et al., 2021 ), although findings have been inconclusive for openness, extraversion, and conscientiousness, with some studies showing women and others showing a men’s advantage ( Goodwin and Gotlib, 2004 ; Shokri et al., 2007 ). The HEXACO model displays a similar pattern, with emotionality and honesty–humility both substantially higher in women than men ( Lee and Ashton, 2004 , 2018 ).
Men and women also differ in value priority and vocational interests. According to Schwartz’s theory ( Schwartz, 1999 ), values define the motivations behind behaviors that regulate attraction in diverse fields. Although the variations are small to medium, research has consistently shown gender gaps, with men scoring higher in power, stimulation, hedonism, achievement, and self-direction and women scoring higher in universalism and benevolence ( Schwartz and Rubel, 2005 ). On the other hand, vocational interests ( Holland, 1997 ) describe how personality interacts with career environments and are important determinants of gender-typed career trajectories ( Kuhn and Wolter, 2022 ). Previous studies have shown that men prefer to be employed in realistic fields, while women favor working with people ( Lippa, 2010a ), suggesting that men have more realistic and investigative interests, preferring careers in engineering, science, and mathematics. By contrast, women prefer “working with people” as they have more artistic, social, and conventional tendencies, which facilitate social science careers ( Su et al., 2009 ).
The social role theory ( Eagly and Wood, 1999 ) posits that variations between men and women derive from the interaction, reinforced by socio-psychological processes, between evolved gender differences in physicality and the socio-cultural context in which these differences are expressed. Eagly and Wood (2012) have argued that, historically, men’s greater strength, endurance, and speed allowed them to conduct physically challenging duties. Conversely, women developed the ability to breastfeed, making them better suited for nurturing tasks. These evolved physical predispositions for specific activities shaped the domestic division of labor between men and women in ancient hunter-gatherer societies ( Eagly and Wood, 2012 ).
As societies developed, the division of labor began to be influenced by physical gender differences in interaction with the social environment ( Eagly and Wood, 1999 ). In modern countries, the socioeconomic setting dictates the relevance of those activities for which men and women have evolved peculiar physical predispositions. In this context, division of labor no longer relates solely to the domestic sphere but also encompasses paid labor, with men and women being segregated into different occupations. This gender segregation “derives in part from male and female biology—that is, mainly their evolved physical attributes, especially women’s reproductive activities and men’s size and strength, which can allow some activities to be more efficiently performed by one sex or the other depending on the socioeconomic and ecological context” ( Wood and Eagly, 2013 ). Thus, the interaction of evolved physical gender differences with the social environment in which they are expressed is likely to be the main process shaping gender segregation.
Within societies, social-psychological processes reinforce gender segregation and make it appear “natural and sensible” ( Wood and Eagly, 2013 ). Most people, when observing differential behaviors, assume that men and women are intrinsically dissimilar and construct specific “multifaceted” gender roles that include either essentially masculine or essentially feminine features ( Beckwith, 2005 ; Wood and Eagly, 2012 ). Individuals then internalize these roles through societal mechanisms that reward people who comply and penalize those who deviate, leading both men and women to develop specific skills and personality ( Friedman and Downey, 2002 ; Eagly and Wood, 2012 ). Consequently, gender differences in basic skills and personality are derived from the great effort that societies have undertaken to perpetuate gender segregation and comply with constructed gender roles ( Wood and Eagly, 2013 ). It follows that in countries where gender roles are relaxed, gender segregation and, as a result, gender differences in basic skills and personality will be smaller ( Eagly and Mitchell, 2004 ).
The gender stratification hypothesis ( Baker and Jones, 1993 ) is consistent with the theory presented above. Although originally formulated to explain gender gaps in mathematics, it has also been applied in other spheres. The theory suggests that essentialist gender beliefs interact with individual goals, thereby generating gender differences. These differences emerge because men in patriarchal societies can connect their skills with career outcomes, whereas women cannot do so due to unequal opportunities ( Else-Quest et al., 2010 ). In sum, societies that exhibit more gender stratification offer fewer opportunities for women to experience and develop the same skills and personalities as men.
Drawing from expectancy-value theory ( Wigfield, 1994 ) and cognitive social learning theory ( Bussey and Bandura, 1999 ), the gender stratification hypothesis argues that people undertake a task only if they value it and expect success. Perceptions of a task’s value are shaped by socio-cultural stereotypes about characteristics assumed to be gender-essential. Thus, women, due to gender stereotypes, would not find it valuable to invest in domains perceived as “masculine” because they would not expect to succeed in them. Instead, they would prefer to develop more “feminine” skills, and this predilection generates gender variances ( Frome and Eccles, 1998 ).
The above process is ostensibly reinforced by environmental processes that highlight those behaviors that are generally linked to gender in a given cultural setting. In this context, environment relates to the social influences that could be imposed, selected, or contracted according to “levels of personal agency,” that is, the extent to which people feel they are in charge of their decisions ( Bandura and Walters, 1977 ). According to this perspective, the immediate environment provides gender-essentialist information through parents, friends, and the media. Individuals regulate their behaviors according to the social expectations conveyed by this information and, through “direct tuition,” inform others about how different behaviors are linked to gender ( Bussey and Bandura, 1999 ).
According to the above theories, gender differences derive from false essentialist beliefs that diminish opportunities for subjective growth, making differences the result of unequal social treatment ( Figure 1 ). Gender essentialism is conceived as a “powerful ideological” force that legitimates gendered choices and limits personal development ( West and Zimmerman, 1987 ). Stated otherwise, gender not only represents the lens through which people see the world, but it also constitutes the basis for categorizing individuals ( Bussey and Bandura, 1999 ). However, as the above theories emphasize, any visible variation between men and women results not from innate biological differences but from social impositions. If men and women were treated alike, gender stereotypes would fade, exposing them to similar stimuli and, consequently, eliminating gender differences in both basic skills and personality ( Baker and Jones, 1993 ; Eagly and Wood, 1999 ). Thus, gender equality is likely to be associated with reduced gender variation. As Else-Quest et al. (2010) claimed, “where there is greater gender equity, gender similarities … will be evident.” Eagly et al. (2004) argued in the same vein, maintaining that “the demise of many sex differences with increasing gender equality is a prediction of social role theory.”
Figure 1 . Overview of social-role theories of gender differences. Gender differences are generated by essentialist beliefs that men and women are intrinsically different which are in turn influenced by social norms in tandem with the division of labor derived from gender physical specialization.
Drawing on gender essentialism, Charles and Bradley (2009) theorized an opposite effect—that gaps might increase with greater gender equality. They posited that, even if societies are gender equal, gender stereotypes endure because of the emphasis on individualism and self-expression in these societies. Specifically, gender equality stresses the expression of subjective preferences; however, it does not question how that preference emerges—an emergence that, Charles and Bradley (2009) ascribe to societal mechanisms influencing individuals based on their gender. These mechanisms strengthen essentialist beliefs about differences between men and women, in turn reinforcing gender-related roles ( Levanon and Grusky, 2018 ).
According to the foregoing analysis, societal systems are characterized by internal structural diversification that is conceptualized to accommodate individual “expressive choices” but functions, instead, to increase stereotypes as people act out their internalized gender identities rather than their subjective preferences ( Rawlings, 2007 ; Charles et al., 2014 ). In addition, long periods of care leave and advanced family policies, which are generally found in gender-equal countries, tend to influence horizontal gender segregation and compel women to enter into roles typically considered more gender-appropriate ( Freiberg, 2019 ), widening even further the prevailing gender gaps. Thus, even when a society becomes more gender equal, “a preponderance of gender-typical choices” and an increase in gender variances can be expected ( Charles and Bradley, 2009 ). Supporting this statement, some scholars have argued that gender stereotypes increase in more gender-equal nations ( Breda et al., 2020 ; Napp and Breda, 2022 ). Others have stated that “cultural individualism” is often the strongest predictor of gender gaps in equal societies ( Bleidorn et al., 2016 ; Kaiser, 2019 ).
Evolutionary theorists claim that differences between men and women are magnified in more gender-equal environments because privileged access to resources allows them to freely express specific gender “ambitions and desires” ( Schmitt et al., 2008 ; Stoet and Geary, 2018 ). These theorists argue that from an evolutionary perspective, the possibility that men and women evolved with identical characteristics is a “theoretical impossibility” and maintain that gender differences are derived, in part, from innate predispositions ( Vandermassen, 2011 ). Specifically, variations are expected to be visible in those domains in which the evolutionary pressure, mainly sexual selection, has influenced men and women differently ( Schmitt, 2015 ). According to this view, the interplay between “sex-linked” genes and environmental stressors is responsible for the more pronounced gender dimorphism in modern nations ( Schmitt et al., 2008 ).
In ancient hunter-gatherer societies, men and women evolved specific, intrinsic differences as a result of evolutionary adaptation ( Mealey, 2000 ). Nevertheless, environmental conditions suppressed these innate differences that have subsequently re-emerged in developed societies characterized by reduced ecological pressure stemming from favorable economic circumstances. Gender differences in sensitivity to environmental change have played a key role in explaining this re-emergence. Generally, in the animal kingdom, the larger animal between the two sexes shows sharper fluctuations in behavior when ecological settings vary. The same appears to be true among humans, where men are more influenced by environmental changes ( Teder and Tammaru, 2005 ). It follows that both men and women, but especially men, are less affected by environmental components in resource-rich countries, where they are free to follow their intrinsic characteristics ( Schmitt et al., 2017 ). Conversely, in countries that offer fewer economic opportunities, choices are constrained, and reduced gender differences might be evident ( Stoet and Geary, 2018 ).
Thus, according to the evolutionary hypothesis, increased gender variations in more gender-equal societies are mainly a product of the sexual selection that men and women have undergone during evolution together with gender differences in sensitivity to environmental changes ( Schmitt et al., 2008 ). This interplay of gender-linked genes and environmental influences is relevant for some gender variances, such as height, since men in more developed societies are reported to be more sensitive to environmental changes ( Sohn, 2015 ).
Most studies on gender differences in basic skills have focused on the Trends in International Mathematics and Science Study (TIMMS) and the Program for International Student Assessment (PISA). TIMMS targets fourth- and eighth-grade students worldwide and reports their academic achievements every 4 years. Similarly, PISA is a triennial test of mathematics and science administered to 15-year-old adolescents in several countries. The PISA and TIMMS tests have been related to only a few gender equality indices; the most commonly used are the World Economic Forum’s Gender Gap Index (GGI) and the United Nations’ Gender Empowerment Measure (GEM). Both indicators are based on sub-indices that assess gender equality in numerous domains, such as educational attainment, political empowerment, and health.
As Table 1 shows, the math gender gap does not usually relate to gender equality when analyzing TIMMS data; in the PISA data, however, the findings appear to be more divergent.
Table 1 . Correlations between mathematics gender differences (men > women) and both composite indices and specific indicators of gender equality.
Else-Quest et al. (2010) found that higher gender equality leads to slightly smaller differences between men and women in mathematics, although with variation across indices ( r = 0.09–0.14). Similarly, Hyde and Mertz (2009) showed that more equitable index scores result in more women being among the top performers; however, their analysis used a small country sample and excluded Scandinavian nations (more on this below). Moreover, Gevrek et al. (2018) argued that moving toward gender equality predicts a reduced gender gap in mathematics in the part that cannot be explained by “observable characteristics,” that is, explained by elements that can be controlled for in statistical analyses.
However, the results appear to depend on the years that were considered in the analysis. For example, Stoet and Geary (2013 , 2015) found that only the 2003 PISA assessment was consistent with theories hypothesizing that gender equality is linked with smaller gender differences. For other years, gender-equal practices were unrelated to a mathematics gap. Additionally, the results are sensitive to the inclusion of Scandinavian and gender-segregated, Muslim countries as well as gender-equal nations in which boys considerably underperform girls ( Fryer and Levitt, 2010 ; Kane and Mertz, 2012 ; Stoet and Geary, 2015 ). However, some have raised doubts about including Muslim countries in the sample ( Kane and Mertz, 2012 ). Other scholars have proposed that the positive findings derive from a spurious correlation between the GGI and country-specific unobserved variances ( Anghel et al., 2019 ). Finally, as reported in Table 1 , Gevrek et al. (2020) recently reversed their findings, strengthening the evidence that gender equality, measured by composite indicators, is not linked to gender differences in mathematics achievement.
However, composite indices may fail to account for explicit factors influencing the mathematics gender gap while specific indicators may be more suitable for measuring how gender differences vary in relation to gender equality. As Table 1 shows, having more women in research, higher levels of female participation in economic activities, a higher ratio of women to men holding parliamentary seats, and greater educational equality seem to predict reduced gender variation ( Else-Quest et al., 2010 ; Penner and Cadwallader Olsker, 2012 ). More recently, Gevrek et al. (2020) extended their research by decomposing the mathematics gender gap into that which could be explained by “observable characteristics” and that which could not. Their finding suggests that the men-to-women ratio in tertiary education and the lower gender wage gap are not related to the explainable part of the gender gap, although they predicted a reduction in the unexplained part.
As mentioned earlier, also the findings for specific indicators depend on the year and countries considered. For instance, the results for the “women in research” indicator are unreliable because they sharply fluctuate across PISA assessments ( r = −0.16, r = −0.68; Reilly, 2012 ; Stoet and Geary, 2015 ). The relation is mainly driven by countries that are, on average, less gender-equal but display lower gender discrepancies, such as Latvia, Serbia, Tunisia, and Thailand, as well as non-OECD nations ( Reilly, 2012 ; Stoet and Geary, 2015 ).
Regarding “women’s economic activity,” Stoet and Geary (2015) analyzed four PISA assessments (2000, 2003, 2006, and 2009) and concluded that only the 2000 and 2003 results were consistent with theories predicting that gender equality is linked to smaller gender differences. In addition, “females in parliamentary seats” never reached statistical significance; only in the 2003 assessment did a link appear by excluding either non-OECD or Nordic countries from the sample ( Stoet and Geary, 2015 ). Further, while Penner and Cadwallader Olsker (2012) showed that countries with more women participation in the labor force tended to have higher mathematics gender differences, the gender gap was not linked to gender equality in their analysis, contrary to the predictions. In sum, only “women in research” demonstrated a significant negative relationship with the gender gap in mathematics, although the magnitude of this relationship is in doubt. Additionally, the gender equality paradox had no empirical support when analyzing mathematics abilities. Girls outperformed boys in diverse socio-cultural environments, such as Finland and Qatar, demonstrating that egalitarian attitudes do not explain gender discrepancies in this dimension ( Stoet and Geary, 2015 ). However, more gender equality had a positive effect on individuals, with both men and women increasing their mathematics scores in this context, without any specific advantages for either group ( Kane and Mertz, 2012 ).
In line with the gender equality paradox, mathematics attitudes and anxiety gender gaps are higher in gender-equal countries ( Else-Quest et al., 2010 ; Stoet et al., 2016 ). Else-Quest et al. (2010) explained this phenomenon by arguing that mathematics anxiety is “a luxury, most often experienced by individuals who are not preoccupied with meeting more basic needs.” However, at the national level, both men and women tend to be less anxious about mathematics in equal societies, even though men benefit more from this lack of anxiety, enhancing gender differences as a consequence ( Stoet et al., 2016 ). Only Goldman and Penner (2016) showed contrary results to that of the above research, arguing that gender differences in mathematics attitudes remain stable, even in gender-equal countries. Recently, Marsh et al. (2021) proposed that the gender equality paradox in these dimensions is “illusory” as it vanishes when accounting for country-level academic achievements and socioeconomic status; however, further studies are needed to support their argument. According to the women’s political representation index, gender-equal nations also have wider self-efficacy and motivation gaps. By contrast, other specific indicators, such as “equality in wages” and “parity in secondary and tertiary education,” predict smaller gaps ( Else-Quest et al., 2010 ; Gevrek et al., 2020 ). Similarly, anxiety differences decline when there is equal political representation between men and women because women gain more than men in politically equal environments ( Else-Quest et al., 2010 ; Gevrek et al., 2020 ).
In conclusion, gender equality is negatively related to gender differences in mathematics attitudes when analyzing composite indices; however, specific indicators are either inversely or directly related. It appears that pursuing equal political representation counteracts the results achieved by parity in wages and education, putting the overall advantage into question. Moreover, although self-efficacy and motivational gender gaps increase as equality is achieved in political representation, parity in tertiary education and wages shows an opposite trend.
Table 2 shows the science gender gap’s mixed results for composite indicators. Analyzing the GGI, Reilly (2012) concluded that the gender gap in science achievement decreases as gender equality increases ( r = 0.29); nevertheless, men are better represented among the top scorers. By contrast, Ireson (2017) failed to replicate any meaningful relationships. However, a recent meta-analysis reported that gender-equal societies are characterized by “a pattern of higher male achievement, while for nations with lower gender equality, we see a pattern of higher female achievement” ( Reilly et al., 2019 ).
Table 2 . Correlations between gender differences in science, reading, and overall scores (men–women) and both composite indices and specific indicators of gender equality.
As reported in Table 2 , also the specific indicators provide mixed results. No connection with the science gender gap is established for the “relative status of women,” whereas “women in research” is linked with increased gender differences ( r = −0.39; Reilly, 2012 ).
These studies were based on inter-group comparisons, which may not have been appropriate for analyzing the relationship in question given the small mean gender gap in science. However, analyzing intra-individual strengths could move the debate forward because these are strongly related to career choices ( Wang and Degol, 2017 ). Studies have shown that men are more likely to have higher abilities in mathematics or science than in reading, generating a “math tilt,” whereas women generate a “verbal tilt,” with differences more visible at the distribution’s right tail ( Wai et al., 2018 ). In other words, although the mean gender variation in science approaches zero, an increasing number of men as compared to women have their top skill in science as opposed to reading, whereas the opposite trend holds true for women (see below). Analyzing 67 nations, Stoet and Geary (2018) pointed out that gender variances in science (and mathematics) intra-individual strength are higher in favor of boys in gender-equal nations. This trend among men could facilitate their preference for scientific careers because they would have the highest likelihood of success and especially so in gender-equal environments ( Dekhtyar et al., 2018 ).
Regarding attitudes, “almost everywhere” girls display a lower science self-concept than boys, even when their academic skills are equal to those of their male peers ( Sikora and Pokropek, 2012 ). Supporting the gender equality paradox, research has noted that gender differences in science self-efficacy, science enjoyment, and interest tend to be larger in gender-equal nations ( Stoet and Geary, 2018 ; Liou et al., 2022 ).
Table 2 shows that studies on reading differences, although few, have substantially converged, demonstrating an increased gender gap in favor of women when there is more equality between genders. Although no correlation is found for the GGI, gender equality results in higher women representation among top-performing students ( Reilly, 2012 ). Notably, the GGI has recently been linked to an increased reading gender gap in advanced societies ( Gevrek et al., 2020 ). Analyzing specific indicators, Reilly (2012) showed that “women in research” directly relates to gender differences in reading achievement, thus predicting progressively higher variations. Gevrek et al. (2020) reached similar conclusions, arguing that the reading gender gap is wider in favor of girls in countries where there is more gender equality in the labor market. Furthermore, studies on intra-individual strengths have also been consistent, showing that girls’ tilt in reading skills is larger than that of boys in gender-equal societies ( Stoet and Geary, 2018 ).
Few studies have focused on gender differences at the aggregate skills level, and those that exist have shown mixed results (see Table 2 ). Similar to the results for mathematics ability, Stoet and Geary (2015) found a significant increase in aggregate skill differences between boys and girls in nations with higher gender equality (GGI), although only in the 2003 PISA assessment. However, excluding either Iceland or Finland from the sample significantly weakened the link, and it disappeared when considering other years ( Stoet and Geary, 2015 ; Ireson, 2017 ). Recently, inspired by research on gender differences in gray and white matter, Stoet and Geary (2020) argued that the basic skills pattern should be considered as a whole to understand the full magnitude of gender variation. Assessing the overall pattern in mathematics, science, and reading performance, it appears that the gap is greater than previously measured, corresponding to a large statistical difference, and it widens in more gender-equal environments.
Some researchers have proposed that egalitarian values, have a “more pervasive influence” and might offer a better understanding of the topic ( Eriksson et al., 2020 ). An examination of these values suggests that “one standard deviation higher in gender equal values is on average 5.2 points more beneficial for boys” ( Eriksson et al., 2020 ). This observation holds true for the GGI.
Contrary to theories predicting that gender equality is linked with smaller gender differences, “male/female enrollment in tertiary education” is inversely related to gender differences in overall achievement in countries with gender-neutral enrollment rates that also have more men among the top performers ( r = 0.19; Bergold et al., 2017 ). Conversely, “women’s labor market participation,” “women’s share of research positions,” and “the ratio of women to men with at least a secondary education” have medium-size negative correlations (from r = 0.33–0.42), which may account for 28.7% of the gender variation ( Bergold et al., 2017 ).
In sum, few studies have examined the link between gender equality and gender differences in science, reading, and overall scores, making it difficult to draw any firm conclusions. The findings for science and overall scores are contradictory, while for reading, there is substantial agreement about there being a gender equality paradox favoring women. Furthermore, due to their interrelatedness, a communal pattern between these skills emerges when examining intra-individual strengths. This pattern is characterized by increasingly wider science/mathematics and reading tilts for boys and girls, respectively. The tilt for girls shows that when girls have a science or mathematics score similar to boys, they tend to have better grades in reading, a trend that is especially observed in gender-equal nations ( Stoet and Geary, 2018 ). However, scholars have only recently begun to consider intra-individual strengths, which represent a great opportunity for future studies on gender segregation.
5.1. the big five and the hexaco model.
Evidence supporting a paradox emerged as early as 2001 when Costa et al. (2001) concluded that men’s and women’s personalities differ more in gender-equal countries. Schmitt et al. (2008) replicated these findings across 55 nations, again suggesting a positive correlation between gender differences and gender equality. More recently, larger gender differences in agreeableness favoring women have been found in gender-equal nations (see Table 3 ), mainly because of lower agreeableness in men in these nations with gender being the strongest predictor of individual levels ( Lippa, 2010b ). Conversely, the gender gap in neuroticism (women > men) has not been found to be affected by gender equality, even though the UN’s gender development and empowerment index predicts a decrease in negative emotions in both men and women ( Lippa, 2010b ).
Table 3 . Correlations between gender differences in personality (men–women) and composite indices of gender equality.
While these findings are illuminating, looking only at single dimensions may lead to counterintuitive results because personality is multifaceted ( Vianello et al., 2013 ). Although the average gender gap for a given personality trait is small, the overall variance is conventionally regarded as large, implying a significant difference between men and women ( Del Giudice, 2009 ). Based on the latter premise, Mac Giolla and Kajonius (2019) noted a strong relationship between gender personality differences and gender equality, with overall differences being broader in “gender-friendly” countries ( r = 0.69). Other studies have supported these results, observing the same widening pattern ( Kaiser, 2019 ). Similarly, the emotionality gap from the HEXACO model displays a direct relationship with the GGI ( r = 0.56), with women having an increasingly higher level than men in more gender-equal countries. However, honesty–humility fails to display any association with gender equality ( Lee and Ashton, 2020 ).
Further evidence for a gender equality paradox in personality emerges from the study by Falk and Hermle (2018) that, building upon the above personality models, related gender differences in economic preferences – positive reciprocity, patience, altruism, trust, risk-taking (higher in women), and negative reciprocity (higher in men) – to gender equality measures. They concluded that the differences are characterized by sharp increases in more gender-equal countries ( r = 0.67).
Basic human values (see Table 3 ) of power, achievement and stimulation are generally considered more important for men, whereas benevolence and universalism are valued among women. Past research has found that these gender differences are broader when men and women are treated equally, even though both genders regard masculine values to be less significant ( Schwartz and Rubel-Lifschitz, 2009 ). More recently, Fors Connolly et al. (2020) extended the research on human values by adding a temporal dimension. Their analysis replicated the results cross-nationally, although temporal examination displayed a convergence between men and women in benevolence (over time, Cohen’s d −15%), with universalism and stimulation gaps remaining constant ( Fors Connolly et al., 2020 ). However, as the authors noted, this convergence resulted from factors not linked to gender equality, indicating that the correlation might be spurious and caused by confounding factors related to both gender equality and personality. This additional finding suggests that gender equality could not cause gender differences in values and that the gender equality paradox needs further exploration.
For vocational interests, few studies have examined how gender differences change with gender equality. Using the Brinkman Model of Interests, one study found that ‘gender differences in musical and persuasive interests decreased in countries with high gender egalitarianism; nevertheless, clerical and scientific interests were higher when gender egalitarianism was high’ ( Ott-Holland et al., 2013 ). However, most differences did not show any variance. More recently Tao et al. (2022) offered a more comprehensive overview highlighting that across all dimensions of vocational interest analyzed, increased gender equality was associated with wider gender differences. As Table 3 shows, gender personality differences generally increase in gender-equal countries. This finding is consistent across models and it appears to be valid also for dimensions not analyzed in this review (see Discussion for a more in-depth analysis).
The systematic narrative literature review investigated recent studies on gender differences in basic skills and personality to determine whether cross-national relationships can be found with gender equality. The goal was to assess whether theories predicting that gender equality is linked with smaller gender differences have empirical support or whether a gender equality paradox has emerged in recent years. The general trend considers gender equality as either being connected to an increase in gender variations or having no relation with them, with a gender equality paradox occurring for gender gaps in some cognitive domains (attitudes toward mathematics, mathematics self-efficacy, mathematics anxiety, and reading) and personality.
Based on the foregoing literature review, it can be seen that research supporting reduced gender differences in more gender-equal countries is scarce and inconsistent. A negative correlation is generally detected when analyzing gender differences in mathematics skills utilizing PISA data, although the correlation is influenced by either the year considered in the study or the sample country (see below). Moreover, “women in research” is the only specific indicator consistently negatively linked to the mathematics gender gap, albeit with disagreement about the strength of the association. Lastly, no connection between gender differences in mathematics and gender equality indicators is found when analyzing the TIMMS assessment. However, many studies have focused solely on mean differences in mathematics abilities, which are small or non-existent. Only Bergold et al. (2017) and Hyde and Mertz (2009) assessed the right tail of the distribution, where gender differences are more pronounced. This lack of studies on top performers highlights a gap in the research that needs to be filled. Also important is analyzing intra-individual strengths when studying the mathematics gender gap, as Stoet and Geary (2018) have emphasized.
Research supporting a positive link between gender variances and gender equality measures appears to be more robust and consistent. The literature on mathematics attitudes and anxiety shows that composite indicators predict a widening gender gap as equality between men and women advances. In addition, scholars agree that gender equality is connected with a larger advantage for women in reading and evidence further shows that gender personality differences are larger in more gender-equal nations. Men and women are less alike, especially in personality traits and basic human values, in countries that have invested the most in gender equality. Further support for a gender equality paradox in personality also emerges when examining other personality domains not included in this review. For example, wider gender gaps in self-esteem and narcissism (higher in men) exist in more gender-equal nations where women have more reproductive control, more executive positions, and their education is either similar to or higher than that of men ( Bleidorn et al., 2016 ; Jonason et al., 2020 ).
Specific indicators are either directly or inversely related to the mathematics gender gap, raising doubt about them being related to a general advantage ( Table 4 ). In addition, findings on science and overall scores are uncertain, even though both science anxiety and science intra-individual strengths follow a trend opposite to that anticipated by theories predicting a link between gender equality and smaller gender differences. Interestingly, other skills, such as episodic memory and visuospatial ability, show the same widening tendency, strengthening the case for a possible paradox in this area ( Lippa et al., 2010 ; Asperholm et al., 2019 ).
Table 4 . Summary of the papers included in the review.
Understanding the possible reasons for the increase in gender differences in countries that promote gender equality is important and relevant since these countries may be leading men and women toward gendered trajectories, a path that is already observable in higher education. Charles and Bradley (2009) noted that the most advanced societies demonstrate more pronounced gender segregation in education. Stoet and Geary (2018) also observed that more gender-equal nations (measured by the GGI) have the widest gender gap among STEM graduates. Supporting these results, research has shown that gender differences using “interest in math careers” as a predictor of future major subjects are greater in countries with higher gender equality, with both men and women being, on average, less interested in mathematics than those in other countries ( Goldman and Penner, 2016 ; Charles, 2017 ; Breda et al., 2020 ). The same pattern is observed in the job market, where horizontal segregation is more pronounced in more gender-equal environments ( Blackburn and Jarman, 2006 ; Wong and Charles, 2020 ). Several investigations have documented this phenomenon and concluded that “Scandinavian countries are notable for their exceptionally high degrees of segregation” despite their advancement in gender equality ( Jarman et al., 2012 ). However, more recent findings have also detected desegregation patterns in more gender-equal nations ( Hustad et al., 2020 ).
The question of why gender differences are sometimes higher in more gender-equal countries remains. Some have proposed that the paradox in mathematics anxiety and attitudes might originate from the better economic conditions needed for these emotions to emerge. In countries where women are highly oppressed, these are more concerned about meeting more basic needs. Conversely, where economic, political, and educational circumstances are more favorable for women, anxiety toward mathematics activities is more likely to emerge ( Else-Quest et al., 2010 ). However, at the national level, both men and women are less anxious about mathematics in developed, gender-equal countries, indicating that alternative explanations are needed ( Stoet et al., 2016 ). In fact, others have suggested that, in gender-equal nations, men and women set aside financial drives and follow more intrinsic career interests because of easier access to economic resources. Hence, women are less exposed than men to STEM activities, “giving them less opportunity to reduce their negative feelings about mathematics” ( Stoet et al., 2016 ).
With respect to reading abilities, the paradox might result from the interaction of two factors: the interrelation between basic skills and Western societies’ strong efforts to equalize boys’ and girls’ mathematics performance that has instead, paradoxically, increased reading skills in girls. Notably, where mathematics gender differences are reduced, the reduction is mainly due to an improvement in women’s reading ( Guiso et al., 2008 ). It follows that countries with smaller mathematics gender differences have the largest reading gaps ( Stoet and Geary, 2013 ). As mathematics is promoted in girls, their reading skills appear to benefit. However, because boys’ disadvantage in reading is, on average, less of a concern among policymakers, gender variations in this dimension have widened.
Some researchers have explained the gender equality paradox in personality by arguing that only differences in self-reported domains are increased ( Eagly and Wood, 2012 ). Here, the reference-group effect ( Heine et al., 2002 ) might conceal variances in less gender-equal countries, where men and women compare themselves with others of their own gender ( Guimond et al., 2007 ). If this explanation holds true, the gap in gender-equal nations would be a better estimate of personality differences between the genders because in these nations both women and men have a more accurate comparative term that includes the whole population rather than just a subset ( Schmitt et al., 2017 ).
Another explanation may be that personality is strongly culturally influenced. According to this view, individualism and self-expressive values act in tandem with gender stereotypes, promoting gender variance as individuals act out their “gendered self” ( Charles and Bradley, 2009 ; Breda et al., 2020 ). This explanation of the gender equality paradox corresponds to the findings in gender-equal nations that cultural mechanisms are at play accommodating women-typical roles, such as job flexibility and high parental care—roles that encourage women to embark on gendered paths and experience more communal traits ( Levanon and Grusky, 2018 ). Thus, it should not be surprising that, in gender-equal countries, men and women appear to differ more than in non-gender-equal countries and that this difference is expanding as women-typical roles are becoming more prevalent. Rather than expressing intrinsic gender differences, in these nations, there is a reinforcement of gender essentialist beliefs, which constitute an artifact of social expectations about how men and women should comply with gender stereotypes ( England, 2010 ).
While this argument is somewhat persuasive, research aiming at linking gender stereotypes with gender equality suffers from several theoretical and methodological limitations. Often scholars apply broad assumptions and rely on a limited, as well as unreliable, set of items to capture latent dimensions of implicit stereotypes hidden in survey data. For instance, in their recent article Napp and Breda (2022) used solely one item to grasp an alleged stereotype that girls lack talent by arguing that systematic gender difference in answering the question would highlight “the magnitude of the (internalized) stereotype associating talent with boys rather than girls.” In addition, several studies have argued that stereotypes about group features, when measured reliably, appear to be accurate ( Jussim et al., 2015 ; Moè et al., 2021 ). Löckenhoff et al. (2014) observed that perceived gender differences in personality substantially match those found in self- and observer-rated personality tests. The authors concluded that gender stereotypes constitute “valid social judgments about the size and direction of sex differences” that are more relevant than socialization processes and ascribed cultural gender roles ( Löckenhoff et al., 2014 ). This is not to say that culture plays no role in the emergence of gender differences, but that the social mechanisms amplifying gender variances—mechanisms that social-role theorists have identified—also capture intrinsic gender differences.
Evolutionary theorists propose a different explanation for the gender equality paradox. As they argue, some gender variations are sensitive to context-related fluctuations, demonstrating a gene–environment interplay. In societies in which conditions are favorable, gender-specific genes flourish due to a lower prevalence of diseases, lower ecological stressors, and lower starvation rates. Per this view, wider gender gaps in gender-equal nations most likely “reflect a more general biological trend toward greater dimorphism in resource-rich environments” ( Schmitt et al., 2008 ). If this explanation holds true, then heritability estimates will be higher in developed societies than in less-advanced cultures. Some evidence in this direction has recently emerged ( Selita and Kovas, 2019 ); however, the “WEIRD” gene problem—that nearly all twin studies have been conducted among Western, educated, industrialized, rich, and democratic societies—represents an obstacle for generalizing results and making inferences about cross-cultural heritability differences ( Henrich et al., 2010 ).
The present review proposes that the evolutionary explanation for the gender equality paradox might be more complex than it appears due to the presence of socio-cultural elements in the evolutionary process. As previously noted, genetic effects depend on the environmental conditions (diseases and ecological stress) under which they occur, yet the environment is embedded into society. Thus, the gene–environment interplay is enclosed within a cultural context with specific social norms and, by itself, cannot encompass all involved elements ( Figure 2 ). Stated otherwise, the gene–environment interplay is a function of culture ( Uchiyama et al., 2022 ). Therefore, gender-specific genes can be expected to be emphasized in societies embracing cultural values that would favor the expression of these genes. Consider, for example, individualism and self-expression. It is unsurprising that these values are related to the gender equality paradox, as Charles and Bradley (2009) have highlighted. In resource-rich environments that also value individualism and self-expression, intrinsic gender differences are more likely to emerge. This thesis points toward interpretation of Kaiser (2019) , which states that both cultural individualism and pathogen levels confound the gender equality paradox in personality (see below). Also, Murphy et al. (2021) reached similar conclusions. A coherent, yet opposite, prediction might see gender differences as remaining stable or even decreasing in those resource-rich environments that culturally constrain self-expression. Accordingly, favorable cultural values would trump social mechanisms that amplify gender-based genes to emerge via a feedback-loop effect or “reciprocal causation” ( Dickens and Flynn, 2001 ) according to which social structures adjust to distinct gender traits and vice versa, thus increasing gender differences.
Figure 2 . Socio-cultural evolutionary explanation of the gender equality paradox. The gears show the interrelations between gender-specific genes, social structures, and environmental components mediated by cultural values.
While searching and analyzing the literature, this review also highlighted some challenges that researchers might face when conducting cross-national studies relating gender differences to gender equality measures. For mathematics ability, results could depend on outlier countries such as Scandinavian and gender-segregated, Muslim countries. In addition, the restricted country samples in international student assessments might be problematic. Despite the strong effort of PISA and TIMMS to be more inclusive, wealthy countries have traditionally been overrepresented, although the latest rounds have had very high coverage, including over 75 participating nations worldwide. Nevertheless, researchers, when assessing gender differences in mathematics abilities, should pay close attention to the countries included in their study because either the inclusion of outliers or a lack of heterogeneity might lead to biased estimations.
Another possible source of bias in research linking gender differences to gender equality on a cultural level is participant sample sizes, with some nations being overrepresented in comparison to others. How countries are clustered may also be problematic since countries are not independent data points and, “as such, they are like members of the same family or pupils of the same classroom” ( Kuppens and Pollet, 2015 ). Therefore, appropriate statistical methods, multilevel modeling, for example, should be utilized to account for both unbalanced sample sizes and data structure.
Correlations between mathematics gender differences and gender equality might originate from a lack of country-level effects in the models. Anghel et al. (2019) argued that when time-invariant country unobserved heterogeneity is controlled for, no association between the two variables is found. Moreover, the link between gender equality and the gender gap in mathematics attitudes might be confounded by country-level academic achievements and socioeconomic status ( Marsh et al., 2021 ).
Further, the gender equality paradox could be due to measurement error. Given that many international assessments and personality models have been developed in WEIRD countries, it is plausible that measurement error could be higher in non-WEIRD nations generating an illusory gender equality paradox. However, international assessments have been constructed to prevent such bias. For instance, PISA computes each student’s score based on a set of 5/10 plausible values designed to prevent measurement error and simplify secondary data analysis ( Marsh et al., 2021 ). Also, the gender equality paradox in personality appears to hold even after correcting for measurement error ( Kaiser, 2019 ; Fors Connolly et al., 2020 ; Tao et al., 2022 ). Nevertheless, when analyzing the link between gender differences in personality and gender equality, statistical procedures that control for measurement error should be applied (see for example Schmidt and Hunter, 2015 ).
Fors Connolly et al. (2020) highlighted the need for more temporal analyses of personality because an observed cross-national pattern may result from “a spurious relationship between gender equality and differences in personality” due to different country-level elements. Kaiser (2019) identified these elements as cultural individualism, food consumption, and historical pathogen prevalence levels. Other research has also agreed that cultural individualism could be a possible confounding factor as gender differences in personality are more pronounced in nations that highly regard individual self-expression ( Costa et al., 2001 ; Schmitt et al., 2008 ; Tao et al., 2022 ).
Some scholars have called attention to the misuse of composite indicators of gender equality, raising several concerns thereof and arguing that they might not be suitable for empirical research ( Else-Quest et al., 2010 ; Hyde, 2012 ). One concern is that these indicators, which encompass various domains from politics to economics, do not measure opportunities ( Richardson et al., 2020 ). Another concern is that they are not interchangeable since they are differentially constructed. Thus, comparisons between research relying on different measures of gender equality might not be suitable. Some of the disparate findings concerning math ability might be driven by computational differences in the indices included in the analysis. Nevertheless, the gender equality composite indicators most commonly utilized (GGI, GEI, and GEM) show very high correlation coefficients ( r ≥ 0.84), while other indicators substantially relate to one another, suggesting that, although some differences occur, these indices are similar in their ability to capture the general dimension of gender equality ( Else-Quest et al., 2010 ; van Staveren, 2013 ; Stoet and Geary, 2015 ). Lastly, composite indicators may present a biased view of society due to the way gender equality is understood in the models. Often, disadvantages pertaining mostly to men are not taken into account when computing the indicators ( Benatar, 2012 ). As an example of this bias, the GGI from the World Economic Forum assumes perfect gender equality in areas where women have an advantage over men. Specifically, values higher than 1, which would assume a men’s disadvantage, in each sub-index are capped. Thus, a more simplified approach to measuring national gender inequality is preferred ( Stoet and Geary, 2019 ).
In addition, methodological issues also arise when using these indices. Some scholars have pointed out that correlations between gender gaps and the indices of gender equality could be driven by the strong economic component in these indices ( Fors Connolly et al., 2020 ). Therefore, it is important to control for appropriate economic indicators, such as GDP per capita and the Human Development Index, when linking gender differences with gender equality ( Kuppens and Pollet, 2015 ). Another difficulty may arise when contrasting results between composite indices and specific indicators occur. For mathematics attitudes, for instance, although composite indices suggest a gender equality paradox, specific indicators are either positively or negatively related to the gender gap. This may suggest that composite indices either capture an overall influence of gender equality or are unsuitable for evaluating gender differences. However, evaluation may lie outside the scope of models using these indices. Research linking gender differences with gender equality indicators has not tried to explain the paradox emerging from the analysis on the basis of gender equality per se ; instead, it has just highlighted a paradoxical pattern that would otherwise have remained concealed. Since no theory has been put forward that fully unravels the paradox, further studies are needed.
Theories considered in this review that predict that gender equality is linked with smaller gender differences do not offer a valid explanation of gender differences in basic skills and personality. In addition, for some dimensions, the gender equality paradox raises further questions about how gender variation emerges, which calls for a new approach. Based on these premises, this review explored both social-role and evolutionary hypotheses and suggested new insights that combine these views, while also highlighting explanatory variables that might cause bias in the results. Thus, specific research that more closely examines the explanations proposed is needed, especially studies with an interdisciplinary focus. Notably, Fors Connolly et al. (2020) highlighted the importance of cross-temporal analyses of the gender equality paradox because these may reveal a different path. Since country comparisons may be insufficient for fully grasping the evolution of the paradox, future research should include a thorough cross-temporal examination for a more comprehensive understanding.
Lastly, the gender equality paradox is an emerging phenomenon that has gained substantial scientific support across subjects ( Falk and Hermle, 2018 ; Campbell et al., 2021 ; Block et al., 2022 ; Vishkin, 2022 ). It requires attention from both the scientific community and the public because attempting to close gender gaps following traditional social-role theories and applying conventional methods, might end up exacerbating gender variations. In addition, the general pattern of increased gender differences in more gender-equal countries might inform that achieving equal opportunities does not go hand in hand with a reduction of gender gaps. Thus, policymakers should consider this trend when justifying interventions attempting to achieve equality of outcome between men and women.
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
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The work was supported by the Finnish National Board for Education through a working grant.
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Anghel, B., Rodríguez-Planas, N., and Sanz-de-Galdeano, A. (2019). Culture, Gender, and Math: A Revisitation.
Google Scholar
Archer, J. (2019). The reality and evolutionary significance of human psychological sex differences. Biol. Rev. 94, 1381–1415. doi: 10.1111/brv.12507
PubMed Abstract | CrossRef Full Text | Google Scholar
Ashcraft, M. H., and Moore, A. M. (2009). Mathematics anxiety and the affective drop in performance. J. Psychoeduc. Assess. 27, 197–205. doi: 10.1177/0734282908330580
CrossRef Full Text | Google Scholar
Asperholm, M., Nagar, S., Dekhtyar, S., and Herlitz, A. (2019). The magnitude of sex differences in verbal episodic memory increases with social progress: data from 54 countries across 40 years. PLoS One 14:e0214945. doi: 10.1371/journal.pone.0214945
Baker, D. P., and Jones, D. P. (1993). Creating gender equality: cross-national gender stratification and mathematical performance. Sociol. Educ. 66, 91–103. doi: 10.2307/2112795
Bandura, A., and Walters, R. H. (1977). Social Learning Theory. Englewood Cliffs: Prentice Hall.
Barone, C., and Assirelli, G. (2020). Gender segregation in higher education: an empirical test of seven explanations. High. Educ. 79, 55–78. doi: 10.1007/s10734-019-00396-2
Beckwith, K. (2005). A common language of gender? Pol Gender 1, 128–137. doi: 10.1017/S1743923X05211017
Benatar, D. (2012). The Second Sexism: Discrimination Against Men and Boys. Oxford: John Wiley & Sons.
Bergold, S., Wendt, H., Kasper, D., and Steinmayr, R. (2017). Academic competencies: their interrelatedness and gender differences at their high end. J. Educ. Psychol. 109, 439–449. doi: 10.1037/edu0000140
Blackburn, R. M., and Jarman, J. (2006). Gendered occupations: exploring the relationship between gender segregation and inequality. Int. Sociol. 21, 289–315. doi: 10.1177/0268580906061380
Bleidorn, W., Arslan, R. C., Denissen, J. J., Rentfrow, P. J., Gebauer, J. E., Potter, J., et al. (2016). Age and gender differences in self-esteem—a cross-cultural window. J. Pers. Soc. Psychol. 111, 396–410. doi: 10.1037/pspp0000078
Block, K., Olsson, M. I. T., Schmader, T., Van Laar, C., Martiny, S. E., Schuster, C., et al. (2022). The gender gap in the care economy is larger in highly developed countries: socio-cultural explanations for paradoxical findings. PsyArXiv . Preprint. doi: 10.31234/osf.io/k6g5d.
Bos, W., Wendt, H., Ünlü, A., Valtin, R., Euen, B., Kasper, D., et al. (2012). “Leistungsprofile von Viertklässlerinnen und Viertklässlern in Deutschland [Proficiency profiles of fourth grade students in Germany]” in IGLU 2011. Lesekompetenzen von Grundschulkindern in Deutschland im internationalen Vergleich [IGLU 2011. International Comparison of Reading Competencies of Primary School Children in Germany]. eds. W. Bos, I. Tarelli, A. Bremerich-Vos and K. Schwippert (Münster: Waxmann), 227–259.
Breda, T., Jouini, E., Napp, C., and Thebault, G. (2020). Gender stereotypes can explain the gender-equality paradox. Proc. Natl. Acad. Sci. U. S. A. 117, 31063–31069. doi: 10.1073/pnas.2008704117
Bussey, K., and Bandura, A. (1999). Social cognitive theory of gender development and differentiation. Psychol. Rev. 106, 676–713. doi: 10.1037/0033-295X.106.4.676
Campbell, O. L. K., Bann, D., and Patalay, P. (2021). The gender gap in adolescent mental health: a cross-national investigation of 566, 829 adolescents across 73 countries. SSM Popul. Health 13:100742. doi: 10.1016/j.ssmph.2021.100742
Cech, E. A. (2013). The self-expressive edge of occupational sex segregation. Am. J. Sociol. 119, 747–789. doi: 10.1086/673969
Charles, M. (2017). Venus, mars, and math: gender, societal affluence, and eighth graders’ aspirations for STEM. Socius 3:237802311769717. doi: 10.1177/2378023117697179
Charles, M., and Bradley, K. (2009). Indulging our gendered selves? Sex segregation by field of study in 44 countries. Am. J. Sociol. 114, 924–976. doi: 10.1086/595942
Charles, M., and Grusky, D. B. (2018). “Egalitarianism and gender inequality” in The Inequality Reader: Contemporary and Foundational Readings in Race, Class, and Gender (New York: Routledge), 389–404.
Charles, M., Harr, B., Cech, E., and Hendley, A. (2014). Who likes math where? Gender differences in eighth-graders’ attitudes around the world. Int. Stud. Sociol. Educ. 24, 85–112. doi: 10.1080/09620214.2014.895140
Cortes, P., and Pan, J. (2018). “Occupation and gender” in The Oxford Handbook of Women and the Economy . eds. S. L. Averett, L. M. Argys and S. D. Hoffman. (Oxford Oxford: University Press), 425–452.
Costa, P. T., Terracciano, A., and McCrae, R. R. (2001). Gender differences in personality traits across cultures: robust and surprising findings. J. Pers. Soc. Psychol. 81, 322–331. doi: 10.1037/0022-3514.81.2.322
Dekhtyar, S., Weber, D., Helgertz, J., and Herlitz, A. (2018). Sex differences in academic strengths contribute to gender segregation in education and occupation: a longitudinal examination of 167,776 individuals. Intelligence 67, 84–92. doi: 10.1016/j.intell.2017.11.007
Del Giudice, M. (2009). On the real magnitude of psychological sex differences. Evol. Psychol. 7:147470490900700. doi: 10.1177/147470490900700209
Devine, A., Fawcett, K., Szűcs, D., and Dowker, A. (2012). Gender differences in mathematics anxiety and the relation to mathematics performance while controlling for test anxiety. Behav. Brain Funct. 8:33. doi: 10.1186/1744-9081-8-33
Dickens, W. T., and Flynn, J. R. (2001). Heritability estimates versus large environmental effects: the IQ paradox resolved. Psychol. Rev. 108, 346–369. doi: 10.1037/0033-295X.108.2.346
Diekman, A. B., and Schneider, M. C. (2010). A social role theory perspective on gender gaps in political attitudes. Psychol. Women Q. 34, 486–497. doi: 10.1111/j.1471-6402.2010.01598.x
Dijkers, M. P. J. M. (2009). The value of “traditional” reviews in the era of systematic reviewing. Am. J. Phys. Med. Rehabil. 88, 423–430. doi: 10.1097/PHM.0b013e31819c59c6
Eagly, A. H., and Mitchell, A. A. (2004). Social role theory of sex differences and similarities: implications for the sociopolitical attitudes of women and men.
Eagly, A. H., and Wood, W. (1999). The origins of sex differences in human behavior: evolved dispositions versus social roles. Am. Psychol. 54, 408–423. doi: 10.1037/0003-066X.54.6.408
Eagly, A. H., and Wood, W. (2012). “Social role theory” in Handbook of Theories of Social Psychology (London: SAGE Publications Ltd), 458–476.
Eagly, A. H., Wood, W., and Johannesen-Schmidt, M. C. (2004). “Social role theory of sex differences and similarities: implications for the partner preferences of women and men” in The Psychology of Gender . 2nd ed (New York, NY: The Guilford Press), 269–295.
Else-Quest, N. M., Hyde, J. S., and Linn, M. C. (2010). Cross-national patterns of gender differences in mathematics: a meta-analysis. Psychol. Bull. 136, 103–127. doi: 10.1037/a0018053
England, P. (2010). The gender revolution: uneven and stalled. Gend. Soc. 24, 149–166. doi: 10.1177/0891243210361475
Eriksson, K., Björnstjerna, M., and Vartanova, I. (2020). The relation between gender egalitarian values and gender differences in academic achievement. Front. Psychol. 11:236. doi: 10.3389/fpsyg.2020.00236
Falk, A., and Hermle, J. (2018). Relationship of gender differences in preferences to economic development and gender equality. Science 362:eaas9899. doi: 10.1126/science.aas9899
Fors Connolly, F., Goossen, M., and Hjerm, M. (2020). Does gender equality cause gender differences in values? Reassessing the gender-equality-personality paradox. Sex Roles 83, 101–113. doi: 10.1007/s11199-019-01097-x
Freiberg, T. (2019). Effects of care leave and family social policy: spotlight on the United States. Am. J. Econ. Sociol. 78, 1009–1037. doi: 10.1111/ajes.12293
Friedman, R. C., and Downey, J. I. (2002). Sexual orientation and psychoanalysis (pp. 225–263).
Frome, P. M., and Eccles, J. S. (1998). Parents’ influence on children’s achievement-related perceptions. J. Pers. Soc. Psychol. 74, 435–452. doi: 10.1037/0022-3514.74.2.435
Fryer, R. G., and Levitt, S. D. (2010). An empirical analysis of the gender gap in mathematics. Am. Econ. J. Appl. Econ. 2, 210–240. doi: 10.1257/app.2.2.210
Ganley, C. M., and Vasilyeva, M. (2011). Sex differences in the relation between math performance, spatial skills, and attitudes. J. Appl. Dev. Psychol. 32, 235–242. doi: 10.1016/j.appdev.2011.04.001
Geary, D. C. (2010). Male, Female: The Evolution of Human Sex Differences . 2nd Edn. Washington: American Psychological Association.
Geary, D. C., Hoard, M. K., Nugent, L., Chu, F., Scofield, J. E., and Ferguson Hibbard, D. (2019). Sex differences in mathematics anxiety and attitudes: concurrent and longitudinal relations to mathematical competence. J. Educ. Psychol. 111, 1447–1461. doi: 10.1037/edu0000355
Gevrek, Z. E., Gevrek, D., and Neumeier, C. (2020). Explaining the gender gaps in mathematics achievement and attitudes: the role of societal gender equality. Econ. Educ. Rev. 76:101978. doi: 10.1016/j.econedurev.2020.101978
Gevrek, Z. E., Neumeier, C., and Gevrek, D. (2018). Explaining the gender test score gap in mathematics: the role of gender inequality. Available at SSRN 3111114.
Ghasemi, E., Burley, H., and Safadel, P. (2019). Gender differences in general achievement in mathematics: an international study. New Waves Educ. Res. Dev. J. 22, 27–54.
Goldman, A. D., and Penner, A. M. (2016). Exploring international gender differences in mathematics self-concept. Int. J. Adolesc. Youth 21, 403–418. doi: 10.1080/02673843.2013.847850
Goodwin, R. D., and Gotlib, I. H. (2004). Gender differences in depression: the role of personality factors. Psychiatry Res. 126, 135–142. doi: 10.1016/j.psychres.2003.12.024
Graham, S. (1995). Narrative versus meta-analytic reviews of race differences in motivation: a comment on Cooper and Dorr. Rev. Educ. Res. 65, 509–514. doi: 10.3102/00346543065004509
Guimond, S., Branscombe, N. R., Brunot, S., Buunk, A. P., Chatard, A., Désert, M., et al. (2007). Culture, gender, and the self: variations and impact of social comparison processes. J. Pers. Soc. Psychol. 92, 1118–1134. doi: 10.1037/0022-3514.92.6.1118
Guiso, L., Monte, F., Sapienza, P., and Zingales, L. (2008). Culture, gender, and math. Science 320, 1164–1165. doi: 10.1126/science.1154094
Gunderson, E. A., Ramirez, G., Levine, S. C., and Beilock, S. L. (2012). The role of parents and teachers in the development of gender-related math attitudes. Sex Roles 66, 153–166. doi: 10.1007/s11199-011-9996-2
Halpern, D. F. (2000). Sex Differences in Cognitive Abilities . New York: Psychology Press.
Halpern, D. F., Benbow, C. P., Geary, D. C., Gur, R. C., Hyde, J. S., and Gernsbacher, M. A. (2007). The science of sex differences in science and mathematics. Psychol. Sci. Public Interest 8, 1–51. doi: 10.1111/j.1529-1006.2007.00032.x
Heine, S. J., Lehman, D. R., Peng, K., and Greenholtz, J. (2002). What’s wrong with cross-cultural comparisons of subjective Likert scales?: the reference-group effect. J. Pers. Soc. Psychol. 82, 903–918. doi: 10.1037/0022-3514.82.6.903
Henrich, J., Heine, S. J., and Norenzayan, A. (2010). The weirdest people in the world? Behav. Brain Sci. 33, 61–83. doi: 10.1017/S0140525X0999152X
Hirnstein, M., Stuebs, J., Moè, A., and Hausmann, M. (2022). Sex/gender differences in verbal fluency and verbal-episodic memory: a meta-analysis. Perspect. Psychol. Sci. 18, 67–90.
Holland, J. L. (1997). Making Vocational Choices: A Theory of Vocational Personalities and Work Environments. Odessa: Psychological Assessment Resources.
Hustad, I. B., Bandholtz, J., Herlitz, A., and Dekhtyar, S. (2020). Occupational attributes and occupational gender segregation in Sweden: does it change over time? Front. Psychol. 11:554. doi: 10.3389/fpsyg.2020.00554
Hyde, J. S. (2005). The gender similarities hypothesis. Am. Psychol. 60, 581–592. doi: 10.1037/0003-066X.60.6.581
Hyde, J. S. (2012). Nation-level indicators of gender equity in psychological research: theoretical and methodological issues. Psychol. Women Q. 36, 145–148. doi: 10.1177/0361684312441448
Hyde, J. S., and Mertz, J. E. (2009). Gender, culture, and mathematics performance. Proc. Natl. Acad. Sci. U. S. A. 106, 8801–8807. doi: 10.1073/pnas.0901265106
Ireson, G. (2017). Gender achievement and social, political and economic equality: a European perspective. Educ. Stud. 43, 40–50. doi: 10.1080/03055698.2016.1237868
Jarman, J., Blackburn, R. M., and Racko, G. (2012). The dimensions of occupational gender segregation in industrial countries. Sociology 46, 1003–1019. doi: 10.1177/0038038511435063
Jonason, P. K., Żemojtel-Piotrowska, M., Piotrowski, J., Sedikides, C., Campbell, W. K., Gebauer, J. E., et al. (2020). Country-level correlates of the dark triad traits in 49 countries. J. Pers. 88, 1252–1267. doi: 10.1111/jopy.12569
Jussim, L., Crawford, J. T., and Rubinstein, R. S. (2015). Stereotype (in) accuracy in perceptions of groups and individuals. Curr. Dir. Psychol. Sci. 24, 490–497. doi: 10.1177/0963721415605257
Kaiser, T. (2019). Nature and evoked culture: sex differences in personality are uniquely correlated with ecological stress. Personal. Individ. Differ. 148, 67–72. doi: 10.1016/j.paid.2019.05.011
Kane, J. M., and Mertz, J. E. (2012). Debunking myths about gender and mathematics performance. N. Am. Math. Soc. 59:10. doi: 10.1090/noti790
Kuhn, A., and Wolter, S. C. (2022). Things versus people: gender differences in vocational interests and in occupational preferences. J. Econ. Behav. Organ. 203, 210–234. doi: 10.1016/j.jebo.2022.09.003
Kuppens, T., and Pollet, T. V. (2015). Gender equality probably does not affect performance at the Olympic games: a comment on Berdahl, Uhlmann, and Bai (2015). J. Exp. Soc. Psychol. 61, 144–147. doi: 10.1016/j.jesp.2015.06.002
Lee, K., and Ashton, M. C. (2004). Psychometric properties of the HEXACO personality inventory. Multivar. Behav. Res. 39, 329–358. doi: 10.1207/s15327906mbr3902_8
Lee, K., and Ashton, M. C. (2018). Psychometric properties of the HEXACO-100. Assessment 25, 543–556. doi: 10.1177/1073191116659134
Lee, K., and Ashton, M. C. (2020). Sex differences in HEXACO personality characteristics across countries and ethnicities. J. Pers. 88, 1075–1090. doi: 10.1111/jopy.12551
Levanon, A., and Grusky, D. B. (2018). “Why is there still so much gender segregation?” in Inequality in the 21st Century (New York: Routledge), 371–379.
Lindberg, S. M., Hyde, J. S., Petersen, J. L., and Linn, M. C. (2010). New trends in gender and mathematics performance: a meta-analysis. Psychol. Bull. 136, 1123–1135. doi: 10.1037/a0021276
Liou, P.-Y., Lin, Y.-M., Huang, S.-C., and Chen, S. (2022). Gender differences in science motivational beliefs and their relations with achievement over grades 4 and 8: a multinational perspective. Int. J. Sci. Math Educ. 21, 233–249. doi: 10.1007/s10763-021-10243-5
Lippa, R. A. (2010a). Gender differences in personality and interests: when, where, and why? Soc. Personal. Psychol. Compass 4, 1098–1110. doi: 10.1111/j.1751-9004.2010.00320.x
Lippa, R. A. (2010b). Sex differences in personality traits and gender-related occupational preferences across 53 nations: testing evolutionary and social-environmental theories. Arch. Sex. Behav. 39, 619–636. doi: 10.1007/s10508-008-9380-7
Lippa, R. A., Collaer, M. L., and Peters, M. (2010). Sex differences in mental rotation and line angle judgments are positively associated with gender equality and economic development across 53 nations. Arch. Sex. Behav. 39, 990–997. doi: 10.1007/s10508-008-9460-8
Löckenhoff, C. E., Chan, W., McCrae, R. R., De Fruyt, F., Jussim, L., De Bolle, M., et al. (2014). Gender stereotypes of personality: universal and accurate? J. Cross-Cult. Psychol. 45, 675–694. doi: 10.1177/0022022113520075
Mac Giolla, E., and Kajonius, P. J. (2019). Sex differences in personality are larger in gender equal countries: replicating and extending a surprising finding. Int. J. Psychol. 54, 705–711. doi: 10.1002/ijop.12529
Marsh, H. W., Parker, P. D., Guo, J., Basarkod, G., Niepel, C., and Van Zanden, B. (2021). Illusory gender-equality paradox, math self-concept, and frame-of-reference effects: new integrative explanations for multiple paradoxes. J. Pers. Soc. Psychol. 121, 168–183. doi: 10.1037/pspp0000306
Mealey, L. (2000). Sex Differences: Developmental and Evolutionary Strategies . San Diego: Academic Press.
Meyer, M., and Gelman, S. A. (2016). Gender essentialism in children and parents: implications for the development of gender stereotyping and gender-typed preferences. Sex Roles 75, 409–421. doi: 10.1007/s11199-016-0646-6
Moakler, M. W., and Kim, M. M. (2014). College major choice in STEM: revisiting confidence and demographic factors. Career Dev. Q. 62, 128–142. doi: 10.1002/j.2161-0045.2014.00075.x
Moè, A., Hausmann, M., and Hirnstein, M. (2021). Gender stereotypes and incremental beliefs in STEM and non-STEM students in three countries: relationships with performance in cognitive tasks. Psychol. Res. 85, 554–567. doi: 10.1007/s00426-019-01285-0
Murphy, S. A., Fisher, P. A., and Robie, C. (2021). International comparison of gender differences in the five-factor model of personality: an investigation across 105 countries. J. Res. Pers. 90:104047. doi: 10.1016/j.jrp.2020.104047
Napp, C., and Breda, T. (2022). The stereotype that girls lack talent: a worldwide investigation. Sci. Adv. 8:eabm3689. doi: 10.1126/sciadv.abm3689
Ott-Holland, C. J., Huang, J. L., Ryan, A. M., Elizondo, F., and Wadlington, P. L. (2013). Culture and vocational interests: the moderating role of collectivism and gender egalitarianism. J. Couns. Psychol. 60, 569–581. doi: 10.1037/a0033587
Penner, A. M., and Cadwallader Olsker, T. (2012). “Gender differences in mathematics and science achievement across the distribution: what international variation can tell us about the role of biology and society” in Towards Equity in Mathematics Education (New York: Springer), 441–468.
Prescott-Allen, R. (2001). The Wellbeing of Nations: A Country-by-Country Index of Quality of Life and the Environment. Washington: Island press.
Rawlings, C. M. (2007). Higher Education as a Prism: The Role of Organizational Structures in the Gender Segregation and Stratification of American Undergraduates, 1970–1995. Working paper. University of California, Santa Barbara, Department of Sociology.
Reilly, D. (2012). Gender, culture, and sex-typed cognitive abilities. PLoS One 7:e39904. doi: 10.1371/journal.pone.0039904
Reilly, D., Neumann, D. L., and Andrews, G. (2019). Investigating gender differences in mathematics and science: results from the 2011 trends in mathematics and science survey. Res. Sci. Educ. 49, 25–50. doi: 10.1007/s11165-017-9630-6
Richardson, S. S., Reiches, M. W., Bruch, J., Boulicault, M., Noll, N. E., and Shattuck-Heidorn, H. (2020). Is there a gender-equality paradox in science, technology, engineering, and math (STEM)? Commentary on the study by Stoet and Geary (2018). Psychol. Sci. 31, 338–341. doi: 10.1177/0956797619872762
Ridgeway, C. L. (2006). “Gender as an organizing force in social relations: implications for the future of inequality” in The Declining Significance of Gender (New York: Russell Sage), 265–287.
Rosenbloom, J. L., Ash, R. A., Dupont, B., and Coder, L. (2008). Why are there so few women in information technology? Assessing the role of personality in career choices. J. Econ. Psychol. 29, 543–554. doi: 10.1016/j.joep.2007.09.005
Sax, L. J., Kanny, M. A., Riggers-Piehl, T. A., Whang, H., and Paulson, L. N. (2015). “But I’m not good at math”: the changing salience of mathematical self-concept in shaping Women’s and Men’s STEM aspirations. Res. High. Educ. 56, 813–842. doi: 10.1007/s11162-015-9375-x
Schmidt, F. L., and Hunter, J. E. (2015). Methods of Meta-Analysis: Correcting Error and Bias in Research Findings London: SAGE Publications, Ltd.
Schmitt, D. P. (2015). “The evolution of culturally-variable sex differences: men and women are not always different, but when they are …it appears not to result from patriarchy or sex role socialization” in The Evolution of Sexuality Evolutionary Psychology . eds. T. K. Shackelford and R. D. Hansen (Cham: Springer International Publishing), 221–256.
Schmitt, D. P., Long, A. E., McPhearson, A., O’Brien, K., Remmert, B., and Shah, S. H. (2017). Personality and gender differences in global perspective. Int. J. Psychol. 52, 45–56. doi: 10.1002/ijop.12265
Schmitt, D. P., Realo, A., Voracek, M., and Allik, J. (2008). Why can’t a man be more like a woman? Sex differences in big five personality traits across 55 cultures. J. Pers. Soc. Psychol. 94, 168–182. doi: 10.1037/0022-3514.94.1.168
Schwartz, S. H. (1999). A theory of cultural values and some implications for work. Appl. Psychol. 48, 23–47. doi: 10.1111/j.1464-0597.1999.tb00047.x
Schwartz, S. H., and Rubel, T. (2005). Sex differences in value priorities: cross-cultural and multimethod studies. J. Pers. Soc. Psychol. 89, 1010–1028. doi: 10.1037/0022-3514.89.6.1010
Schwartz, S. H., and Rubel-Lifschitz, T. (2009). Cross-national variation in the size of sex differences in values: effects of gender equality. J. Pers. Soc. Psychol. 97, 171–185. doi: 10.1037/a0015546
Selita, F., and Kovas, Y. (2019). Genes and gini: what inequality means for heritability. J. Biosoc. Sci. 51, 18–47. doi: 10.1017/S0021932017000645
Shokri, O., Kadivar, P., and Daneshvar Pour, Z. (2007). Gender differences in subjective well-being: role of personality traits. Iran. J. Psychiatry Clin. Psychol. 13, 280–289.
Sikora, J., and Pokropek, A. (2012). Gender segregation of adolescent science career plans in 50 countries. Sci. Ed. 96, 234–264. doi: 10.1002/sce.20479
Sohn, K. (2015). The influence of birth season on height: evidence from Indonesia: the influence of birth season on height. Am. J. Phys. Anthropol. 157, 659–665. doi: 10.1002/ajpa.22763
Stoet, G., Bailey, D. H., Moore, A. M., and Geary, D. C. (2016). Countries with higher levels of gender equality show larger national sex differences in mathematics anxiety and relatively lower parental mathematics valuation for girls. PLoS One 11:e0153857. doi: 10.1371/journal.pone.0153857
Stoet, G., and Geary, D. C. (2013). Sex differences in mathematics and reading achievement are inversely related: within- and across-nation assessment of 10 years of PISA data. PLoS One 8:e57988. doi: 10.1371/journal.pone.0057988
Stoet, G., and Geary, D. C. (2015). Sex differences in academic achievement are not related to political, economic, or social equality. Intelligence 48, 137–151. doi: 10.1016/j.intell.2014.11.006
Stoet, G., and Geary, D. C. (2018). The gender-equality paradox in science, technology, engineering, and mathematics education. Psychol. Sci. 29, 581–593. doi: 10.1177/0956797617741719
Stoet, G., and Geary, D. C. (2019). A simplified approach to measuring national gender inequality. PLoS One 14:e0205349. doi: 10.1371/journal.pone.0205349
Stoet, G., and Geary, D. C. (2020). Sex-specific academic ability and attitude patterns in students across developed countries. Intelligence 81:101453. doi: 10.1016/j.intell.2020.101453
Su, R., Rounds, J., and Armstrong, P. I. (2009). Men and things, women and people: a meta-analysis of sex differences in interests. Psychol. Bull. 135, 859–884. doi: 10.1037/a0017364
Tao, C., Glosenberg, A., Tracey, T. J. G., Blustein, D. L., and Foster, L. L. (2022). Are gender differences in vocational interests universal?: moderating effects of cultural dimensions. Sex Roles 87, 327–349. doi: 10.1007/s11199-022-01318-w
Teder, T., and Tammaru, T. (2005). Sexual size dimorphism within species increases with body size in insects. Oikos 108, 321–334. doi: 10.1111/j.0030-1299.2005.13609.x
Uchiyama, R., Spicer, R., and Muthukrishna, M. (2022). Cultural evolution of genetic heritability. Behav. Brain Sci. 45:e152. doi: 10.1017/S0140525X21000893
van de Werfhorst, H. G. (2017). Gender segregation across fields of study in post-secondary education: trends and social differentials. Eur. Sociol. Rev. 33, 449–464. doi: 10.1093/esr/jcx040
van der Slik, F. W. P., van Hout, R. W. N. M., and Schepens, J. J. (2015). The gender gap in second language acquisition: gender differences in the Acquisition of Dutch among immigrants from 88 countries with 49 mother tongues. PLoS One 10:e0142056. doi: 10.1371/journal.pone.0142056
van Staveren, I. (2013). To measure is to know? A comparative analysis of gender indices. Rev. Soc. Econ. 71, 339–372. doi: 10.1080/00346764.2012.707398
Vandermassen, G. (2011). Evolution and rape: a feminist Darwinian perspective. Sex Roles 64, 732–747. doi: 10.1007/s11199-010-9895-y
Vianello, M., Schnabel, K., Sriram, N., and Nosek, B. (2013). Gender differences in implicit and explicit personality traits. Personal. Individ. Differ. 55, 994–999. doi: 10.1016/j.paid.2013.08.008
Vishkin, A. (2022). Queen’s gambit declined: the gender-equality paradox in chess participation across 160 countries. Psychol. Sci. 33, 276–284. doi: 10.1177/09567976211034806
Wai, J., Hodges, J., and Makel, M. C. (2018). Sex differences in ability tilt in the right tail of cognitive abilities: a 35-year examination. Intelligence 67, 76–83. doi: 10.1016/j.intell.2018.02.003
Wang, M.-T., and Degol, J. L. (2017). Gender gap in science, technology, engineering, and mathematics (STEM): current knowledge, implications for practice, policy, and future directions. Educ. Psychol. Rev. 29, 119–140. doi: 10.1007/s10648-015-9355-x
Weisberg, Y. J., DeYoung, C. G., and Hirsh, J. B. (2011). Gender differences in personality across the ten aspects of the big five. Front. Psychol. 2:178. doi: 10.3389/fpsyg.2011.00178
West, C., and Zimmerman, D. H. (1987). Doing gender. Gend. Soc. 1, 125–151. doi: 10.1177/0891243287001002002
Wigfield, A. (1994). Expectancy-value theory of achievement motivation: a developmental perspective. Educ. Psychol. Rev. 6, 49–78. doi: 10.1007/BF02209024
Wong, Y. L. A., and Charles, M. (2020). “Gender and occupational segregation” in Companion to Women’s and Gender Studies . ed. N. A. Naples (Oxford: Wiley), 303–325.
Wood, W., and Eagly, A. H. (2012). “Biosocial construction of sex differences and similarities in behavior” in Advances in Experimental Social Psychology. Vol. 46. eds. J. M. Olson and M. P. Zanna (Burlington: Academic Press), 55–123.
Wood, W., and Eagly, A. H. (2013). Biology or culture alone cannot account for human sex differences and similarities. Psychol. Inq. 24, 241–247. doi: 10.1080/1047840X.2013.815034
Keywords: gender equality paradox, gender equality, gender differences, basic skills, personality
Citation: Balducci M (2023) Linking gender differences with gender equality: A systematic-narrative literature review of basic skills and personality. Front. Psychol . 14:1105234. doi: 10.3389/fpsyg.2023.1105234
Received: 22 November 2022; Accepted: 27 January 2023; Published: 16 February 2023.
Reviewed by:
Copyright © 2023 Balducci. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Marco Balducci, ✉ [email protected]
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
44 Pages Posted: 27 Dec 2005
University of Helsinki and HECER - Department of Economics
Date Written: December 2005
This paper reviews a broad range of micro-, macroeconomic and development economics literature on the impact of gender equality on economic development and growth. Stylized facts are reported as well as the results of both empirical and theoretical research. Globally, women's roles are found to be in the midst of change. These changes may stem from technological improvement, as industrialization has made extensive home-based production obsolete and reduced the demand for children. Instead of the gendered specialization in autarkic households, contemporary specialization in the market place may have led to lower fertility and consequent shifts in women's economic roles. As historic hierarchical gender valuations appear in many different guises, adjustment to these changes pose challenges on many different levels. Overall the literature suggests that issues in gender inequality as it relates economic development fall into the categories of: values and religion, cultural restrictions and roles, legal and inheritance laws and practices, resource allocation within marriage, labor market access, education, fertility, gender specific market failures in finance, and power in decision making.
Keywords: Gender equality, development, women, segregation, discrimination, specialization, stylized facts
JEL Classification: O10, J16, J71, D63
Suggested Citation: Suggested Citation
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Gender equality is a major problem that places women at a disadvantage thereby stymieing economic growth and societal advancement. In the last two decades, extensive research has been conducted on gender related issues, studying both their antecedents and consequences. However, existing literature reviews fail to provide a comprehensive and clear picture of what has been studied so far, which ...
The systematic narrative literature review investigated recent studies on gender differences in basic skills and personality to determine whether cross-national relationships can be found with gender equality. ... Theories considered in this review that predict that gender equality is linked with smaller gender differences do not offer a valid ...
The Global Gender Gap Index 2022 benchmarks 146 countries on the evolution of gender-based gaps in economic participation and opportunity, educational attainment, health and survival, and political empowerment (World Economic Forum, 2022).Although the Index measures gender parity (defined in Table 1) rather than substantive equality, it is a useful tool for analysing progression and regression.
Our systematic literature review was based on a quantitative bibliometric content analysis of the available literature. We thus created a broad overview of the state of the literature, with a particular focus on the key interests named in the introduction. ... Gender equality is thus highlighted as one of the most important tasks in sustainable ...
The purpose of this Review is to provide evidence for why gender equality in science, medicine, and global health matters for health and health-related outcomes. We present a high-level synthesis of global gender data, summarise progress towards gender equality in science, medicine, and global health, review the evidence for why gender equality in these fields matters in terms of health and ...
Some studies show that living conditions, such as economy, gender equality, and education, are associated with the magnitude of psychological sex differences. ... Our primary aim in this study was to review and systematize previous literature that examined the association between living conditions and psychological sex differences (old analyses ...
Here, we conduct a systematic literature review to investigate the impacts of rural transformation on gender and the influence of gender inclusiveness on rural transformation. We reviewed 82 studies from 1960-2021 that explore the relationships between rural transformation and gender. We then developed a framework that captures incidences and ...
The socioeconomic perspective explains gender representation in the organizational structure. Guided by comparative human resource management (HRM) research, we review and critically assess the literature on gender equality in work settings. To this end, we consider quantitative articles published between 1980 and 2021.
Gender equality, defined by the modern welfare states, is trying to provide equal opportunities for men and women in private as well as public sphere. The fight for gender-equality has been largely associated with feminism. Feminism in fact has been defined as a cluster of contesting views on the gender problematic (Arneil, 1999; Verloo, 2016 ...
The article selection criteria were executed using the PRISMA article selection flowchart steps, and 15 articles were included for the review.,The findings reveal that the outcomes from gender stereotype change research can be categorized mainly under the themes of "family and children," "marriage" and "equality and women's employment ...
We provide an integrative review of research on gender and academic careers conducted in the Nordic countries from 2003-2018. We investigate the nature and content of contemporary Nordic research and critically examine the methodological and theoretical approaches authors have used. We read, categorised, and analysed 74 articles retrieved ...
This review examines literature correlating, on a national level, gender differences in basic skills-mathematics, science (inclu … There is controversy regarding whether gender differences are smaller or larger in societies that promote gender equality highlighting the need for an integrated analysis.
At first glance, it appears that SDG5 (Achieve gender equality and empower all women and girls) shares one of MDG3's main limitations, namely, the lack of explicit affirmation of women's human rights in the goal itself. Differently from MDG3, however, human rights did find their way into SDG5's targets, both explicitly as in target 5.6 and 5.a ...
Existing review studies on gender diversity have focused heavily on gender diversity on corporate boards (for a review, see Baker et al., 2020, Khatib et al., 2021, Mumu et al., 2022). SDG 5 recognises that gender equality is not only a fundamental human right but also essential for building inclusive societies, promoting economic growth and ...
Introduction. Since the 1960s, US women's workforce participation has doubled among married women and tripled among mothers of young children (Goldin 2014).The gender gap has narrowed across several life domains, such as housework, childcare, and most notably education, in which women have overtaken men across all education levels (Bianchi et al. 2012; DiPrete and Buchmann 2013; Sullivan 2013).
paper proceeds to review the literature on gender equality mostly focusing on women, it is useful to keep in mind the issues where gender biases show destructively in men's lives. At the level of macroeconomics, it has been quite difficult to show effects of the status of women on aggregate growth for econometric reasons among others.
Abstract. Gender equality is a major problem that places women at a disadvantage thereby stymieing economic growth and societal advancement. In the last two decades, extensive research has been conducted on gender related issues, studying both their antecedents and consequences. However, existing literature reviews fail to provide a ...
This paper provides an overview of the latest evidence on the effects of social protection on gender equality. It starts by considering how risks and vulnerabilities are gendered, and the implications of their gendered nature for boys' and girls', and men's and women's well-being throughout the life course.
In this study, we analyze 22 years of literature on gender-related research. Following estab-lished practice for scoping reviews [42], our data collection consisted of two main steps, which we summarize here below. Firstly, we retrieved from the Scopus database all the articles written in English that con-Twenty years of gender equality research: A
An earlier study by Baughn et al. (2006) concludes that, overall, "gender equality itself does not predict the proportion of female entrepreneurs". Sajjad et al. (2020) recently studied the contribution of women entrepreneurs, investigating this relationship by measuring women entrepreneurship and economic development at the global level.
The systematic narrative literature review investigated recent studies on gender differences in basic skills and personality to determine whether cross-national relationships can be found with gender equality. ... Theories considered in this review that predict that gender equality is linked with smaller gender differences do not offer a valid ...
509. FEMINISM: EQUALITY GENDER IN LITERA TURE. Mila Arizah. English Education Study Program. Faculty of Teacher Training and Education, Baturaja University. E-mail: [email protected] ...
Abstract. This paper reviews a broad range of micro-, macroeconomic and development economics literature on the impact of gender equality on economic development and growth. Stylized facts are reported as well as the results of both empirical and theoretical research. Globally, women's roles are found to be in the midst of change.
1. INTRODUCTION. Gender discrimination refers to the unequal treatment. of members of one gender against members of another. one. From a sociological point of view, gender. discrimination means ...
It is envisaged that the gender equality law will support full implementation of gender equality provisions in the Constitution so as to defend, protect, promote and enforcing women and girls' rights. ... literature review discussion paper ... Validation meeting with stakeholders; 1 day. 1,000. 3%. Review, update, simplify and summarize UN ...